| Summary: | The Visual Object Tracking challenge VOT2020 is the eighth
annual tracker benchmarking activity organized by the VOT initiative.
Results of 58 trackers are presented; many are state-of-the-art trackers
published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges
focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance
and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term
tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only
the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and
introduction of segmentation ground truth in the VOT-ST2020 challenge
– bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. 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.
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