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ViCoS Lab

Authors

Matej Kristan, PhD
Matej Kristan, PhD
Jiri Matas
Jiri Matas
Pavel Tokmakov
Pavel Tokmakov
Michael Felsberg
Michael Felsberg
Luka Čehovin Zajc, PhD
Luka Čehovin Zajc, PhD
Alan Lukežič, PhD
Alan Lukežič, PhD
Khanh-Tung Tran
Khanh-Tung Tran
Xuan-Son Vu
Xuan-Son Vu
Johanna Bjorklund
Johanna Bjorklund
Hyung Jin Chang
Hyung Jin Chang
Gustavo Fernandez
Gustavo Fernandez

Links

  •   Document

Tags

VOT

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results

Matej Kristan, Jiri Matas, Pavel Tokmakov, Michael Felsberg, Luka Čehovin Zajc, Alan Lukežič, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjorklund, et al.
European conference on computer vision workshops, VOTS2024 workshop, 2024,

The Visual Object Tracking Segmentation VOTS2024 challenge is the twelfth annual tracker benchmarking activity of the VOT initiative. This challenge consolidates the new tracking setup proposed in VOTS2023, which merges short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. Two sub-challenges are considered. The VOTS2024 standard challenge, focusing on classical objects and the VOTSt2024, which considers objects undergoing a topological transformation. Both challenges use the same performance evaluation methodology. Results of 28 submissions are presented and analyzed. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available on the website https://www.votchallenge.net/vots2024/.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245