The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

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 locati...

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Bibliographic Details
Main Authors: Kristan, Matej, Danelljan, Martin, Felsberg, Michael, Chang, Hyung Jin, Cehovin Zajc, Luka, Lukezic, Alan, Drbohlav, Ondrej, Tran, Khanh-Tung, Vu, Xuan-Son, Bjorklund, Johanna, Mayer, Christoph, Zhang, Yushan, Ke, Lei, Zhao, Jie, Fernandez, Gustavo, Al-Shakarji, Noor, An, Dong, Arens, Michael, Becker, Stefan, Bhat, Goutam, Bullinger, Sebastian, Chan, Antoni B., Chang, Shijie, Chen, Hanyuan, Chen, Xin, Chen, Yan, Chen, Zhenyu, Cui, Yutao, Deng, Chunyuan, Dunnhofer, Matteo, Feng, Wei, Fu, Jianlong, Gao, Jie, Han, Ruize, He, Jun-Yan, Hu, Xiantao, Huang, Yuqing, Jiang, Yi, Kang, Ben, Lan, Jin-Peng, Lee, Hyungjun, Li, Chenyang, Li, Jiahao, Li, Wangkai, Li, Xiaodi, Li, Xin, Liu, Yue, Lu, Huchuan, Luo, Bin, Ma, Yinchao, Palaniappan, Kannappan, Park, Hancheol, Peng, HouWen, Qian, Zekun, Rahmon, Gani, Scherer-Negenborn, Norbert, Shao, Pengcheng, Shin, Wooksu, Kazemi, Elham Soltani, Song, Tianhui, Sun, Rui, Tang, Chuanming, Tang, Zhangyong, Toubal, Imad Eddine, Valmadre, Jack, van de Weijer, Joost, Van Gool, Luc, Vira, Jash, Wan, Cheng, Wang, Dong, Wang, Fei, Wang, He, Wang, Limin, Wang, Song, Wang, Zhepeng, Wu, Gangshan, Wu, Jiannan, Wu, Qiangqiang, Xiao, Anqi, Xie, Jinxia, Xu, Min, Xu, Tianyang, Xu, Yuanyou, Yan, Bin, Yang, Dawei, Yang, Tianyu, Yang, Zongxin, Yu, Fisher, Yu, Hongyuan, Yu, Qianjin, Yuan, YongSheng, Yuan, Zehuan, Zhang, Jianlin, Zhang, Lu, Zhang, Tianzhu, Zhong, Bineng, Zhu, Jiawen, Zhu, Xuefeng, Zong, ChengAo, Zuo, Kunlong
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Conferences
Protocols
Robustness
Servers
Target tracking
Visualization
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Summary: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 .
ISSN:2473-9944
DOI:10.1109/ICCVW60793.2023.00195