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The Sixth Visual Object Tracking VOT2018 Challenge Results
- 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
- Subjects :
- Source code
source code
business.industry
Computer science
Computer Sciences
media_common.quotation_subject
020206 networking & telecommunications
02 engineering and technology
Datavetenskap (datalogi)
Datorseende och robotik (autonoma system)
Video tracking
0202 electrical engineering, electronic engineering, information engineering
dataset
020201 artificial intelligence & image processing
Computer vision
Artificial Intelligence & Image Processing
Artificial intelligence
08 Information and Computing Sciences
tracker benchmarking activity
business
Computer Vision and Robotics (Autonomous Systems)
media_common
Subjects
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