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The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

  • Matej Kristan
  • , Jiří Matas
  • , Martin Danelljan
  • , Michael Felsberg
  • , Hyung Jin Chang
  • , Luka Čehovin Zajc
  • , Alan Lukežič
  • , Ondrej Drbohlav
  • , Zhongqun Zhang
  • , Khanh-Tung Tran
  • , Xuan-Son Vu
  • , Johanna Björklund
  • , Christoph Mayer
  • , Yushan Zhang
  • , Lei Ke
  • , Jie Zhao
  • , Gustavo Fernández
  • , Noor Al-Shakarji
  • , Dong An
  • , Michael Arens
  • Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, HouWen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stèphane Vujasinović, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, YongSheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 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 website1.
Original languageEnglish
Title of host publication2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
PublisherIEEE
Pages1788-1810
Number of pages23
ISBN (Electronic)9798350307443
ISBN (Print)9798350307450
DOIs
Publication statusPublished - 25 Dec 2023
Event2023 International Conference on Computer Vision - Paris Convention Centre, Paris, France
Duration: 2 Oct 20236 Oct 2023
https://iccv2023.thecvf.com/

Publication series

NameInternational Conference on Computer Vision Workshops (ICCV Workshops)
PublisherIEEE
ISSN (Print)2473-9936
ISSN (Electronic)2473-9944

Conference

Conference2023 International Conference on Computer Vision
Abbreviated titleICCV 2023
Country/TerritoryFrance
CityParis
Period2/10/236/10/23
Internet address

Keywords

  • Visualization
  • Computer vision
  • Target tracking
  • Protocols
  • Conferences
  • Robustness
  • Servers

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