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The tenth visual object tracking VOT2022 challenge results
University of Ljubljana, Ljubljana, Slovenia.
University of Birmingham, Birmingham, United Kingdom.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-8503-0118
Zhejiang University, Hangzhou, China.
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 Vision and Robotics (Autonomous Systems)
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, 899987Available from: 2023-04-14 Created: 2023-04-14 Last updated: 2023-04-14Bibliographically approved

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Björklund, Johanna

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CiteExportLink to record
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Citation style
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