The sixth visual object tracking vot2018 challenge results

Conference or Workshop item

Kristan, Matej. 2019. "The sixth visual object tracking vot2018 challenge results." European Conference on Computer Vision 2018 Workshops. Munich, Germany 09 - 14 Sep 2018 Germany. Springer.
Paper/Presentation Title

The sixth visual object tracking vot2018 challenge results

AuthorsKristan, Matej
Journal or Proceedings TitleProceedings of European Conference on Computer Vision 2018 Workshops
Journal Citation11133, pp. 3-53
Number of Pages51
Place of PublicationGermany
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Web Address (URL) of Conference Proceedings
Conference/EventEuropean Conference on Computer Vision 2018 Workshops
Event Details
European Conference on Computer Vision 2018 Workshops
Computer Vision – ECCV 2018 Workshops
European Conference on Computer Vision
In person
Event Date
09 to end of 14 Sep 2018
Event Location
Munich, Germany

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 (

Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 20204603. Computer vision and multimedia computation
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The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

SeriesLecture Notes in Computer Science
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