The visual object tracking VOT2015 challenge results

Conference item

The Visual Object Tracking challenge 2015, VOT2015, aims at comparing short-term single-object visual trackers that do not apply pre-learned models of object appearance. Results of 62 trackers are presented. The number of tested trackers makes VOT 2015 the largest benchmark on short-term tracking to date. For each participating tracker, a short description is provided in the appendix. Features of the VOT2015 challenge that go beyond its VOT2014 predecessor are: (i) a new VOT2015 dataset twice as large as in VOT2014 with full annotation of targets by rotated bounding boxes and per-frame attribute, (ii) extensions of the VOT2014 evaluation methodology by introduction of a new performance measure. The dataset, the evaluation kit as well as the results are publicly available at the challenge website.

Authors: Kristan, M; Matas, J; Leonardis, A; Bibi, A; Bertinetto, L

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Host title: 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
• Pages: 564-586
• Publication date: 2016-02-15
• Acceptance date: 2015-09-03
• Event title: 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
• Event location: Santiago, Chile.
• Event website: https://iccv2015.thecvf.com/
• Event start date: 2015-12-07
• Event end date: 2015-12-13
• DOI: 10.1109/iccvw.2015.79
• ISSN: 1550-5499
• EISBN: 9781467397117
• ISBN: 9781467383905
• Language: English