The tenth visual object tracking VOT2022 challenge results
Number of Authors: 1562023 (English)In: Computer vision – ECCV 2022 workshops: Tel Aviv, Israel, October 23–27, 2022, proceedings, part VIII / [ed] Leonid Karlinsky; Tomer Michaeli; Ko Nishino, Cham: Springer, 2023, p. 431-460Conference paper, Published paper (Refereed)
Abstract [en]
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 (http://votchallenge.net).
Place, publisher, year, edition, pages
Cham: Springer, 2023. p. 431-460
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 13808
Keywords [en]
Visual Object Tracking challenge, VOT, Short-term tracking, Long-term tracking, Performance evaluation
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:umu:diva-206728DOI: 10.1007/978-3-031-25085-9_25Scopus ID: 2-s2.0-85151355577ISBN: 978-3-031-25084-2 (print)ISBN: 978-3-031-25085-9 (electronic)OAI: oai:DiVA.org:umu-206728DiVA, id: diva2:1750791
Conference
17th European Conference on Computer Vision, ECCV 2022, Tel Aviv, October 23-27, 2022.
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg FoundationEU, Horizon 2020, 8999872023-04-142023-04-142025-02-07Bibliographically approved