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The Sixth Visual Object Tracking VOT2018 Challenge Results

Authors :
Houqiang Li
Huchuan Lu
Siwen Wang
Rafael Martin-Nieto
Efstratios Gavves
Feng Li
Manqiang Che
Erhan Gundogdu
Priya Mariam Raju
Xiaofan Zhang
Roman Pflugfelder
Yan Lu
Xinmei Tian
Martin Danelljan
Deepak Mishra
Guilherme Sousa Bastos
Honggang Zhang
Heng Fan
Mohamed H. Abdelpakey
Zhen-Hua Feng
Wang Wei
Andrej Muhič
Wengang Zhou
Deming Chen
Haojie Zhao
Sihang Wu
Richard M. Everson
Junfei Zhuang
Qin Zhou
Myunggu Kang
Abel Gonzalez-Garcia
Pablo Vicente-Moñivar
Richard Bowden
Horst Possegger
Yicai Yang
Andrea Vedaldi
Jaime Spencer Martin
Jongwon Choi
Yunhua Zhang
Yiannis Demiris
Seokeon Choi
Alireza Memarmoghadam
Wangmeng Zuo
Changzhen Xiong
Yuxuan Sun
Daijin Kim
Yuhong Li
Qing Guo
Tang Ming
Arnold W. M. Smeulders
Hamed Kiani Galoogahi
Zhihui Wang
Asanka G. Perera
Fahad Shahbaz Khan
George De Ath
Shuangping Huang
Qian Ruihe
Philip H. S. Torr
Haojie Li
Zhiqun He
João F. Henriques
Namhoon Lee
Chong Sun
Jorge Rodríguez Herranz
Vincenzo Santopietro
Lijun Wang
Qiang Wang
Gustavo Fernandez
Shuai Bai
Weiming Hu
Ondrej Miksik
Dongyoon Wee
Xiaohe Wu
Goutam Bhat
Yifan Jiao
A. Aydin Alatan
Alfredo Petrosino
Ran Tao
Tianyang Xu
Sergio Vivas
Cheng Tian
Yee Wei Law
Wei Feng
José M. Martínez
Luca Bertinetto
Runling Wang
Liu Si
Tianzhu Zhang
Tomas Vojir
Mario Edoardo Maresca
Lichao Zhang
Changick Kim
Luka Čehovin Zajc
Lingxiao Yang
Yan Li
Javaan Chahl
Simon Hadfield
Chong Luo
Jiří Matas
Ales Leonardis
Jack Valmadre
Pedro Senna
Josef Kittler
Klemen Grm
Cong Hao
Haibin Ling
Isabela Drummond
Zheng Zhang
Fan Yang
Joakim Johnander
Tobias Fischer
Gorthi R. K. Sai Subrahmanyam
Jinyoung Sung
Jin-Young Choi
Bo Li
Hui Zhi
Álvaro Iglesias-Arias
Joost van de Weijer
Hyung Jin Chang
Jinqing Qi
Michael Felsberg
Francesco Battistone
Sangdoo Yun
Wei Zou
Huiyun Li
Boyu Chen
Zheng Zhu
Jing Li
Abdelrahman Eldesokey
Litu Rout
Matej Kristan
Mohamed Shehata
Fei Zhao
Changsheng Xu
Alan Lukežič
Yi Wu
Wenjun Zeng
Lutao Chu
Vitomir Struc
Stuart Golodetz
Alvaro Garcia-Martin
Dong Wang
Junyu Gao
Hankyeol Lee
Hyemin Lee
Ning Wang
Wei Wu
Anfeng He
Xiaojun Wu
Rama Krishna Sai Subrahmanyam Gorthi
Payman Moallem
Peixia Li
Jinqiao Wang
Erik Velasco-Salido
Ming-Hsuan Yang
Kristan, Matej
Leonardis, Ales
Matas, Jiri
Felsberg, Michael
Perera, Asanka G
Chahl, Javaan
Law, Yee Wei
He, Zhiqun
Source :
European Conference on Computer Vision, Lecture Notes in Computer Science ISBN: 9783030110086, ECCV Workshops (1)
Publication Year :
2019
Publisher :
Linköpings universitet, Datorseende, 2019.

Abstract

The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. 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 dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net). Funding agencies: Slovenian research agencySlovenian Research Agency - Slovenia [P2-0214, P2-0094, J2-8175]; Czech Science FoundationGrant Agency of the Czech Republic [GACR P103/12/G084]; WASP; VR (EMC2); SSF (SymbiCloud); SNIC; AIT Strategic Research Programme 2017 Visua

Details

Language :
English
ISBN :
978-3-030-11008-6
ISBNs :
9783030110086
Database :
OpenAIRE
Journal :
European Conference on Computer Vision, Lecture Notes in Computer Science ISBN: 9783030110086, ECCV Workshops (1)
Accession number :
edsair.doi.dedup.....a449874fbb7a60c1bc50564cd356140f