The sixth visual object tracking VOT2018 challenge results
File(s)Kristan_ECCV2018W_VOT_stamped.pdf (2.04 MB)
Accepted version
Author(s)
Type
Conference Paper
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).
Date Issued
2019-01-23
Date Acceptance
2018-08-13
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, 11129 LNCS, pp.3-53
ISBN
9783030110086
ISSN
0302-9743
Publisher
Springer
Start Page
3
End Page
53
Journal / Book Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
11129 LNCS
Copyright Statement
© Springer Nature Switzerland AG 2019.
Identifier
https://link.springer.com/chapter/10.1007%2F978-3-030-11009-3_1
Source
European Conference on Computer Vision
Subjects
08 Information and Computing Sciences
Artificial Intelligence & Image Processing
Publication Status
Published
Start Date
2018-09-14
Coverage Spatial
Munich, Germany
Date Publish Online
2019-01-23