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33 results on '"Poostchi A"'

1. Persian named entity recognition with structural prediction methods

Author: Poostchi, H, Piccardi, M, Poostchi, H, and Piccardi, M
Abstract: Named-entity recognition (NER) is still a challenging task for a number of languages due to the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. The ArmanPersoNERCorpus, the first manually-annotated Persian NER corpus that we have released in 2018, has enabled supervised prediction of named entities in the Persian language. Tackling NER as a sequential labelling task, in this chapter we compare the performance of a range of sequential classifiers on the aforementioned annotated corpus. The applied classifiers include a conventional CRF, the SVM-HMM, the Jordan recurrent neural network, the BiLSTM-CRF (a state-of-the-art deep learning architecture for the NER task), and the Flair neural language model. Moreover, the performance of each classifier has been assessed using various word embeddings as pre-trained feature vectors, including Hellinger PCA, CBOW, skip-gram, GloVe and fastText. The combination of the Flair model and the fastText word embeddings has achieved the highest CoNLL-F1 score of 78.59 % which outperforms the previous state-of-the-art on Persian NER by 1.14 percentage points.
Published: 2023

2. BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition

Author: Poostchi, H, Piccardi, M, Poostchi, H, and Piccardi, M
Published: 2020

3. BILSTM-CRF for Persian named-entity recognition armanpersonercorpus: The first entity-annotated Persian dataset

Author: Poostchi, H, Borzeshi, EZ, Piccardi, M, Poostchi, H, Borzeshi, EZ, and Piccardi, M
Abstract: © LREC 2018 - 11th International Conference on Language Resources and Evaluation. All rights reserved. Named-entity recognition (NER) can still be regarded as work in progress for a number of Asian languages due to the scarcity of annotated corpora. For this reason, with this paper we publicly release an entity-annotated Persian dataset and we present a performing approach for Persian NER based on a deep learning architecture. In addition to the entity-annotated dataset, we release a number of word embeddings (including GloVe, skip-gram, CBOW and Hellinger PCA) trained on a sizable collation of Persian text. The combination of the deep learning architecture (a BiLSTM-CRF) and the pre-trained word embeddings has allowed us to achieve a 77.45% CoNLL F1 score, a result that is more than 12 percentage points higher than the best previous result and interesting in absolute terms.
Published: 2019

4. Cluster Labeling by Word Embeddings and WordNet’s Hypernymy

Author: Poostchi, H, Piccardi, M, Poostchi, H, and Piccardi, M
Abstract: Cluster labeling is the assignment of representative labels to clusters of documents or words. Once assigned, the labels can play an important role in applications such as navigation, search and document classification. However, finding appropriately descriptive labels is still a challenging task. In this paper, we propose various approaches for assigning labels to word clusters by leveraging word embeddings and the synonymy and hypernymy relations in the WordNet lexical ontology. Experiments carried out using the WebAP document dataset have shown that one of the approaches stand out in the comparison and is capable of selecting labels that are reasonably aligned with those chosen by a pool of four human annotators.
Published: 2018

5. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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6. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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7. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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8. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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9. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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10. The Visual Object Tracking VOT2017 challenge results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, He, Zhiqun, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Zajc, Luka Cehovin, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Eldesokey, Abdelrahman, Fernandez, Gustavo, Garcia-Martin, Alvaro, Muhic, A., Petrosino, Alfredo, Memarmoghadam, Alireza, Vedaldi, Andrea, Manzanera, Antoine, Tran, Antoine, Alatan, Aydin, Mocanu, Bogdan, Chen, Boyu, Huang, Chang, Xu, Changsheng, Sun, Chong, Du, Dalong, Zhang, David, Du, Dawei, Mishra, Deepak, Gundogdu, Erhan, Velasco-Salido, Erik, Khan, Fahad, Battistone, Francesco, Subrahmanyam, Gorthi R. K. Sai, Bhat, Goutam, Huang, Guan, Bastos, Guilherme, Seetharaman, Guna, Zhang, Hongliang, Li, Houqiang, Lu, Huchuan, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-Chan, Cho, Jae-Il, Lee, Jae-Yeong, Noskova, Jana, Zhu, Jianke, Gao, Jin, Liu, Jingyu, Kim, Ji-Wan, Henriques, Joao F., Martinez, Jose M., Zhuang, Junfei, Xing, Junliang, Gao, Junyu, Chen, Kai, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Kitani, Kris M., Zhang, Lei, Wang, Lijun, Yang, Lingxiao, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Yang, Ming-Hsuan, Xie, Nianhao, Wang, Ning, Miksik, Ondrej, Moallem, P., Venugopal, Pallavi M., Senna, Pedro, Torr, Philip H. S., Wang, Qiang, Yu, Qifeng, Huang, Qingming, Martin-Nieto, Rafael, Bowden, Richard, Liu, Risheng, Tapu, Ruxandra, Hadfield, Simon, Lyu, Siwei, Golodetz, Stuart, Choi, Sunglok, Zhang, Tianzhu, Zaharia, Titus, Santopietro, Vincenzo, Zou, Wei, Hu, Weiming, Tao, Wenbing, Li, Wenbo, Zhou, Wengang, Yu, Xianguo, Bian, Xiao, Li, Yang, Xing, Yifan, Fan, Yingruo, Zhu, Zheng, Zhang, Zhipeng, and He, Zhiqun
Abstract: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative. Results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years. The evaluation included the standard VOT and other popular methodologies and a new "real-time" experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The VOT2017 goes beyond its predecessors by (i) improving the VOT public dataset and introducing a separate VOT2017 sequestered dataset, (ii) introducing a realtime tracking experiment and (iii) releasing a redesigned toolkit that supports complex experiments. The dataset, the evaluation kit and the results are publicly available at the challenge website(1)., Funding Agencies|Slovenian research agency research programs [P2-0214, P2-0094]; Slovenian research agency project [J2-8175]; Czech Science Foundation Project [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme Visual Surveillance and Insight; Faculty of Computer Science, University of Ljubljana, Slovenia
Published: 2017
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11. Multi-Scale Spatially Weighted Local Histograms in O(1)

Author: Poostchi, Mahdieh, Shafiekhani, Ali, Palaniappan, Kannappan, Seetharaman, Guna, Poostchi, Mahdieh, Shafiekhani, Ali, Palaniappan, Kannappan, and Seetharaman, Guna
Abstract: Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching. Several techniques have been proposed that incorporate Spatial information to increase the accuracy and boost the performance of detection, tracking and recognition systems at the cost of speed. But, it is still not clear how to efficiently ex- tract weighted local histograms in constant time using integral histogram. This paper presents a novel algorithm to compute accurately multi-scale Spatially weighted local histograms in constant time using Weighted Integral Histogram (SWIH) for fast search. We applied our spatially weighted integral histogram approach for fast tracking and obtained more accurate and robust target localization result in comparison with using plain histogram., Comment: 5 pages, 7 figures
Published: 2017

12. Fast Integral Histogram Computations on GPU for Real-Time Video Analytics

Author: Poostchi, Mahdieh, Palaniappan, Kannappan, Li, Da, Becchi, Michela, Bunyak, Filiz, Seetharaman, Guna, Poostchi, Mahdieh, Palaniappan, Kannappan, Li, Da, Becchi, Michela, Bunyak, Filiz, and Seetharaman, Guna
Abstract: In many Multimedia content analytics frameworks feature likelihood maps represented as histograms play a critical role in the overall algorithm. Integral histograms provide an efficient computational framework for extracting multi-scale histogram-based regional descriptors in constant time which are considered as the principle building blocks of many video content analytics frameworks. We evaluate four different mappings of the integral histogram computation onto Graphics Processing Units (GPUs) using different kernel optimization strategies. Our kernels perform cumulative sums on row and column histograms in a cross-weave or wavefront scan order, use different data organization and scheduling methods that is shown to critically affect utilization of GPU resources (cores and shared memory). Tiling the 3-D array into smaller regular data blocks significantly speeds up the efficiency of the computation compared to a strip-based organization. The tiled integral histogram using a diagonal wavefront scan has the best performance of about 300.4 frames/sec for 640 x 480 images and 32 bins with a speedup factor of about 120 using GTX Titan X graphics card compared to a single threaded sequential CPU implementation. Double-buffering has been exploited to overlap computation and communication across sequence of images. Mapping integral histogram bins computations onto multiple GPUs enables us to process 32 giga bytes integral histogram data (of 64MB Image and 128 bins) with a frame rate of 0.73 Hz and speedup factor of 153X over single-threaded CPU implementation and the speedup of 45X over 16-threaded CPU implementation., Comment: GPU Implementation of Integral Histogram
Published: 2017

13. Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery

Author: Poostchi, Mahdieh and Poostchi, Mahdieh
Abstract: A robust and fast automatic moving object detection and tracking system is essential to characterize target object and extract spatial and temporal information for different functionalities including video surveillance systems, urban traffic monitoring and navigation, robotic. In this dissertation, I present a collaborative Spatial Pyramid Context-aware moving object detection and Tracking system. The proposed visual tracker is composed of one master tracker that usually relies on visual object features and two auxiliary trackers based on object temporal motion information that will be called dynamically to assist master tracker. SPCT utilizes image spatial context at different level to make the video tracking system resistant to occlusion, background noise and improve target localization accuracy and robustness. We chose a pre-selected seven-channel complementary features including RGB color, intensity and spatial pyramid of HoG to encode object color, shape and spatial layout information. We exploit integral histogram as building block to meet the demands of real-time performance. A novel fast algorithm is presented to accurately evaluate spatially weighted local histograms in constant time complexity using an extension of the integral histogram method. Different techniques are explored to efficiently compute integral histogram on GPU architecture and applied for fast spatio-temporal median computations and 3D face reconstruction texturing. We proposed a multi-component framework based on semantic fusion of motion information with projected building footprint map to significantly reduce the false alarm rate in urban scenes with many tall structures. The experiments on extensive VOTC2016 benchmark dataset and aerial video confirm that combining complementary tracking cues in an intelligent fusion framework enables persistent tracking for Full Motion Video and Wide Aerial Motion Imagery., Comment: PhD Dissertation (162 pages)
Published: 2017

14. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016
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15. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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16. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016

17. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016

18. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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19. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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20. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016
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21. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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22. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Hager, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-martin, Alvaro, Montero, Andres Solis, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Subrahmanyam, Gorthi R. K. Sai, Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Chang, Hyung Jin, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Choi, Jin Young, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Rapuru, Madan Kumar, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Khan, Muhammad Haris, Wang, Naiyan, Fan, Nana, Al-shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment. The dataset, the evaluation kit as well as the results are publicly available at the challenge website (http://votchallenge.net).
Published: 2016

23. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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24. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016
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25. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016
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26. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

Author: Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, He, Zhenyu, Felsberg, Michael, Kristan, Matej, Matas, Jiri, Leonardis, Ales, Pflugfelder, Roman, Häger, Gustav, Berg, Amanda, Eldesokey, Abdelrahman, Ahlberg, Jörgen, Cehovin, Luka, Vojir, Tomas, Lukezic, Alan, Fernandez, Gustavo, Petrosino, Alfredo, Garcia-Martin, Alvaro, Solis Montero, Andres, Varfolomieiev, Anton, Erdem, Aykut, Han, Bohyung, Chang, Chang-Ming, Du, Dawei, Erdem, Erkut, Khan, Fahad Shahbaz, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Seetharaman, Guna, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Nam, Hyeonseob, Valmadre, Jack, Zhu, Jianke, Feng, Jiayi, Lang, Jochen, Martinez, Jose M., Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Wen, Longyin, Bertinetto, Luca, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Arens, Michael, Tang, Ming, Baek, Mooyeol, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Torr, Philip H. S., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Krah, Sebastian B., Li, Shengkun, Yao, Shizeng, Hadfield, Simon, Lyu, Siwei, Becker, Stefan, Golodetz, Stuart, Hu, Tao, Mauthner, Thomas, Santopietro, Vincenzo, Li, Wenbo, Huebner, Wolfgang, Li, Xin, Li, Yang, Xu, Zhan, and He, Zhenyu
Abstract: The Thermal Infrared Visual Object Tracking challenge 2016, VOT-TIR2016, aims at comparing short-term single-object visual trackers that work on thermal infrared (TIR) sequences and do not apply pre-learned models of object appearance. VOT-TIR2016 is the second benchmark on short-term tracking in TIR sequences. Results of 24 trackers are presented. For each participating tracker, a short description is provided in the appendix. The VOT-TIR2016 challenge is similar to the 2015 challenge, the main difference is the introduction of new, more difficult sequences into the dataset. Furthermore, VOT-TIR2016 evaluation adopted the improvements regarding overlap calculation in VOT2016. Compared to VOT-TIR2015, a significant general improvement of results has been observed, which partly compensate for the more difficult sequences. The dataset, the evaluation kit, as well as the results are publicly available at the challenge website.
Published: 2016
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27. The Visual Object Tracking VOT2016 Challenge Results

Author: Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, Chi, Zhizhen, Kristan, Matej, Leonardis, Ales, Matas, Jiri, Felsberg, Michael, Pflugfelder, Roman, Cehovin, Luka, Vojir, Tomas, Häger, Gustav, Lukezic, Alan, Fernandez, Gustavo, Gupta, Abhinav, Petrosino, Alfredo, Memarmoghadam, Alireza, Garcia-Martin, Alvaro, Solis Montero, Andres, Vedaldi, Andrea, Robinson, Andreas, Ma, Andy J., Varfolomieiev, Anton, Alatan, Aydin, Erdem, Aykut, Ghanem, Bernard, Liu, Bin, Han, Bohyung, Martinez, Brais, Chang, Chang-Ming, Xu, Changsheng, Sun, Chong, Kim, Daijin, Chen, Dapeng, Du, Dawei, Mishra, Deepak, Yeung, Dit-Yan, Gundogdu, Erhan, Erdem, Erkut, Khan, Fahad, Porikli, Fatih, Zhao, Fei, Bunyak, Filiz, Battistone, Francesco, Zhu, Gao, Roffo, Giorgio, Sai Subrahmanyam, Gorthi R. K., Bastos, Guilherme, Seetharaman, Guna, Medeiros, Henry, Li, Hongdong, Qi, Honggang, Bischof, Horst, Possegger, Horst, Lu, Huchuan, Lee, Hyemin, Nam, Hyeonseob, Jin Chang, Hyung, Drummond, Isabela, Valmadre, Jack, Jeong, Jae-chan, Cho, Jae-il, Lee, Jae-Yeong, Zhu, Jianke, Feng, Jiayi, Gao, Jin, Young Choi, Jin, Xiao, Jingjing, Kim, Ji-Wan, Jeong, Jiyeoup, Henriques, Joao F., Lang, Jochen, Choi, Jongwon, Martinez, Jose M., Xing, Junliang, Gao, Junyu, Palaniappan, Kannappan, Lebeda, Karel, Gao, Ke, Mikolajczyk, Krystian, Qin, Lei, Wang, Lijun, Wen, Longyin, Bertinetto, Luca, Kumar Rapuru, Madan, Poostchi, Mahdieh, Maresca, Mario, Danelljan, Martin, Mueller, Matthias, Zhang, Mengdan, Arens, Michael, Valstar, Michel, Tang, Ming, Baek, Mooyeol, Haris Khan, Muhammad, Wang, Naiyan, Fan, Nana, Al-Shakarji, Noor, Miksik, Ondrej, Akin, Osman, Moallem, Payman, Senna, Pedro, Torr, Philip H. S., Yuen, Pong C., Huang, Qingming, Martin-Nieto, Rafael, Pelapur, Rengarajan, Bowden, Richard, Laganiere, Robert, Stolkin, Rustam, Walsh, Ryan, Krah, Sebastian B., Li, Shengkun, Zhang, Shengping, Yao, Shizeng, Hadfield, Simon, Melzi, Simone, Lyu, Siwei, Li, Siyi, Becker, Stefan, Golodetz, Stuart, Kakanuru, Sumithra, Choi, Sunglok, Hu, Tao, Mauthner, Thomas, Zhang, Tianzhu, Pridmore, Tony, Santopietro, Vincenzo, Hu, Weiming, Li, Wenbo, Huebner, Wolfgang, Lan, Xiangyuan, Wang, Xiaomeng, Li, Xin, Li, Yang, Demiris, Yiannis, Wang, Yifan, Qi, Yuankai, Yuan, Zejian, Cai, Zexiong, Xu, Zhan, He, Zhenyu, and Chi, Zhizhen
Abstract: The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 70 trackers are presented, with a large number of trackers being published at major computer vision conferences and journals in the recent years. The number of tested state-of-the-art trackers makes the VOT 2016 the largest and most challenging benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the Appendix. The VOT2016 goes beyond its predecessors by (i) introducing a new semi-automatic ground truth bounding box annotation methodology and (ii) extending the evaluation system with the no-reset experiment.
Published: 2016
Full Text: View/download PDF

28. PersoNER: Persian named-entity recognition

Author: Poostchi, H, Borzeshi, EZ, Abdous, M, Piccardi, M, Poostchi, H, Borzeshi, EZ, Abdous, M, and Piccardi, M
Abstract: © 1963-2018 ACL. Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present and provide ArmanPerosNERCorpus, the first manually-annotated Persian NER corpus. Then, we introduce PersoNER, an NER pipeline for Persian that leverages a word embedding and a sequential max-margin classifier. The experimental results show that the proposed approach is capable of achieving interesting MUC7 and CoNNL scores while outperforming two alternatives based on a CRF and a recurrent neural network.
Published: 2016

29. PersoNER: Persian named-entity recognition

Author: Poostchi, H, Borzeshi, EZ, Abdous, M, Piccardi, M, Poostchi, H, Borzeshi, EZ, Abdous, M, and Piccardi, M
Abstract: © 1963-2018 ACL. Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present and provide ArmanPerosNERCorpus, the first manually-annotated Persian NER corpus. Then, we introduce PersoNER, an NER pipeline for Persian that leverages a word embedding and a sequential max-margin classifier. The experimental results show that the proposed approach is capable of achieving interesting MUC7 and CoNNL scores while outperforming two alternatives based on a CRF and a recurrent neural network.
Published: 2016

30. Dynamic membrane behaviours during constant flux filtration in membrane bioreactor coupled with mesh filter

Author: Amir Ali Poostchi, Mohammad Reza Mehrnia, Fariba Rezvani, Amir Ali Poostchi, Mohammad Reza Mehrnia, and Fariba Rezvani
Published: 2015
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31. Dynamic membrane behaviours during constant flux filtration in membrane bioreactor coupled with mesh filter

Author: Amir Ali Poostchi, Mohammad Reza Mehrnia, Fariba Rezvani, Amir Ali Poostchi, Mohammad Reza Mehrnia, and Fariba Rezvani
Published: 2015
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32. Real Time Motion Detection Based on the Spatio-Temporal Median Filter using GPU Integral Histograms

Author: MISSOURI UNIV-COLUMBIA DEPT OF COMPUTER SCIENCE, Poostchi, Mahdieh, Palaniappan, Kannappan, Bunyak, Filiz, Seetharaman, Guna, MISSOURI UNIV-COLUMBIA DEPT OF COMPUTER SCIENCE, Poostchi, Mahdieh, Palaniappan, Kannappan, Bunyak, Filiz, and Seetharaman, Guna
Abstract: We describe a parallel 3D spatio-temporal median filter algorithm implemented in CUDA for many core Graphics Processing Unit (GPU) architectures using the integral histogram as a building block to support adaptive window sizes. Both 2D and 3D median filters are also widely used in many other computer vision tasks like denoising, segmentation, and recognition. Although fast sequential median algorithms exist, improving performance using parallelization is attractive to reduce the time needed for motion detection in order to support more complex processing in multi-target tracking systems, large high resolution aerial video imagery and 3D volumetric processing. Results show the frame rate of the GPU implementation was 60 times faster than the CPU version for a 1K x 1K image reaching 49 fr/sec and 21 times faster for 512 x 512 frame sizes reaching 194 fr/sec. We characterize performance of the parallel 3D median filter for different image sizes and varying number of histogram bins and show selected results for motion detection., Presented at the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'12) (8th) held in Mumbai, India on 16-19 December 2012. The original document contains color images. Published in the Proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'12) (8th), 2012.
Published: 2012

33. Epidemiology of eye disease in the UK: the Bridlington Eye Assessment Project

Author: Poostchi, A. and Poostchi, A.
Abstract: Purpose; To determine the prevalence of and impact of eye disease in an elderly population and the diagnostic accuracy of a novel artificial intelligence algorithm for the detection of glaucoma Design; population based, cross sectional study Participants; 3549 Caucasian individuals over the age of 65 years Methods: A directed general and ophthalmic history was obtained from all subjects. Slit lamp eye examination including applanation tonometry and dilated examination of the fundus was performed by one of four specially trained optometrists and supplemented with fundus photography, visual field testing and Heidelberg Retinal Tomography (HRT). Those with reduced vision, raised intraocular pressure, visual field defects or other abnormalities were referred for further assessment by a consultant ophthalmologist and followed longitudinally until a definitive diagnosis was made. All diagnoses of glaucoma were made retrospectively using at least 5 years of longitudinal data to determine status at incident examination. All fundus photographs were reviewed by a single ophthalmologist for signs of age related macula degeneration (AMD) and other retinal disease. HRT outputs were analysed using the device’s proprietary software which produced results for normative based Moorfield’s regression analysis (MRA) and the shape analysis tool Glaucoma Probability Score (GPS). We used a bespoke Matlab based machine learning classifier to providing two further measures based on shape analysis which were termed shape abnormality score (SAS) and abnormal disc score (ADS). Statistical Analysis: Outcomes and associations were explored using t-tests, chi- squared tests and Mantal Haenzel methods. Linear and logistic regression was sed for multivariate analysis. Agreement was measured using kappa, intraclass correlation coefficient and concordance correlation coefficient and plotted using Bland Altman plots. Covariate effects on diagnostic performance were examined using a combination of maxi

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1. Persian named entity recognition with structural prediction methods

2. BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition

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4. Cluster Labeling by Word Embeddings and WordNet’s Hypernymy

5. The Visual Object Tracking VOT2017 challenge results

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18. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

19. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

20. The Visual Object Tracking VOT2016 Challenge Results

21. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

22. The Visual Object Tracking VOT2016 Challenge Results

23. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

24. The Visual Object Tracking VOT2016 Challenge Results

25. The Visual Object Tracking VOT2016 Challenge Results

26. The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

27. The Visual Object Tracking VOT2016 Challenge Results

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29. PersoNER: Persian named-entity recognition

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31. Dynamic membrane behaviours during constant flux filtration in membrane bioreactor coupled with mesh filter

32. Real Time Motion Detection Based on the Spatio-Temporal Median Filter using GPU Integral Histograms

33. Epidemiology of eye disease in the UK: the Bridlington Eye Assessment Project

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