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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 Pflugfelder
Roman Pflugfelder
Joni-Kristian Kamarainen
Joni-Kristian Kamarainen
Hyung Jin Chang
Hyung Jin Chang
Martin Danelljan
Martin Danelljan
Luka Čehovin Zajc, PhD
Luka Čehovin Zajc, PhD
Alan Lukežič, PhD
Alan Lukežič, PhD
Ondrej Drbohlav
Ondrej Drbohlav
Johanna Bjorklund
Johanna Bjorklund
Yushan Zhang
Yushan Zhang
Zhongqun Zhang
Zhongqun Zhang
Song Yan
Song Yan
Wenyan Yang
Wenyan Yang
Dingding Cai
Dingding Cai
Christoph Mayer
Christoph Mayer
Gustavo Fernandez
Gustavo Fernandez

Links

  •   Document

Tags

tracking

The Tenth Visual Object Tracking VOT2022 Challenge Results

Matej Kristan, Aleš Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Hyung Jin Chang, Martin Danelljan, Luka Čehovin Zajc, et al.
ECCV Workshops 2022, 2022,

The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2022 challenge was composed of seven sub-challenges focusing on different tracking domains: (i) VOT-STs2022 challenge focused on short-term tracking in RGB by segmentation, (ii) VOT-STb2022 challenge focused on short-term tracking in RGB by bounding boxes, (iii) VOT-RTs2022 challenge focused on real-time'' short-term tracking in RGB by segmentation, (iv) VOT-RTb2022 challenge focused on real-time’’ short-term tracking in RGB by bounding boxes, (v) VOT-LT2022 focused on long-term tracking, namely coping with target disappearance and reappearance, (vi) VOT-RGBD2022 challenge focused on short-term tracking in RGB and depth imagery, and (vii) VOT-D2022 challenge focused on short-term tracking in depth-only imagery. New datasets were introduced in VOT-LT2022 and VOT-RGBD2022, VOT-ST2022 dataset was refreshed, and a training dataset was introduced for VOT-LT2022. The source code for most of the trackers, the datasets, 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