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ViCoS Lab

Authors

Matej Kristan, PhD
Matej Kristan, PhD
Aleš Leonardis, PhD
Aleš Leonardis, PhD
Jiri Matas
Jiri Matas
Michael Felsberg
Michael Felsberg
Roman Pfugfelder
Roman Pfugfelder
Luka Čehovin Zajc, PhD
Luka Čehovin Zajc, PhD
Tomas Vojir
Tomas Vojir
Goutam Bhat
Goutam Bhat
Alan Lukezic
Alan Lukezic
Abdelrahman Eldesokey
Abdelrahman Eldesokey
Gustavo Fernandez
Gustavo Fernandez
et al.
et al.

Links

  •   Document

Tags

tracking performance evaluation

The sixth Visual Object Tracking VOT2018 challenge results

Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pfugfelder, Luka Čehovin Zajc, Tomas Vojir, Goutam Bhat, Alan Lukezic, et al.
VOT2018 workshop, ECCV2018, 2018,

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 longterm 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.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245