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The First Visual Object Tracking Segmentation VOTS2023 Challenge Results
Univ Ljubljana, Slovenia.
Czech Tech Univ, Czech Republic.
Swiss Fed Inst Technol, Switzerland.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-6096-3648
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2023 (English)In: 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS, ICCVW, IEEE COMPUTER SOC , 2023, p. 1788-1810Conference paper, Published paper (Refereed)
Abstract [en]

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 short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website(1).
Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2023. p. 1788-1810
Series
IEEE International Conference on Computer Vision Workshops, ISSN 2473-9936, E-ISSN 2473-9944
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:liu:diva-201871DOI: 10.1109/ICCVW60793.2023.00195ISI: 001156680301096ISBN: 9798350307443 (electronic)ISBN: 9798350307450 (print)OAI: oai:DiVA.org:liu-201871DiVA, id: diva2:1847535
Conference
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, FRANCE, oct 02-06, 2023
Available from: 2024-03-28 Created: 2024-03-28 Last updated: 2025-02-07

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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