Abstract 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 …

The Visual Object Tracking challenge VOT2016 aims at comparing short-term single-object
visual trackers that do not apply pre-learned models of object appearance. Results of 70 …

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 …

Abstract The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …

Abstract The Visual Object Tracking challenge VOT2019 is the seventh annual tracker
benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; …

Abstract The Thermal Infrared Visual Object Tracking challenge 2015, VOT-TIR2015, aims at
comparing short-term single-object visual trackers that work on thermal infrared (TIR) …

Several benchmark datasets for visual tracking research have been created in recent years.
Despite their usefulness, whether they are sufficient for understanding and diagnosing the …

Abstract The Visual Object Tracking challenge VOT2020 is the eighth annual tracker
benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; …

Evaluating visual tracking algorithms, or" trackers" for short, is of great importance in
computer vision. However, it is hard to" fairly" compare trackers due to many parameters …

The problem of visual tracking evaluation is sporting an abundance of performance
measures, which are used by various authors, and largely suffers from lack of consensus …