The Ninth Visual Object Tracking VOT2021 Challenge Results

Authors

Fahad Shahbaz Khan, Mohamed bin Zayed University of Artificial IntelligenceFollow

Document Type

Conference Proceeding

Publication Title

Proceedings of the IEEE International Conference on Computer Vision

Abstract

The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challenge focused on short-term tracking in RGB, (ii) VOT-RT2021 challenge focused on "real-time"short-term tracking in RGB, (iii) VOT-LT2021 focused on long-term tracking, namely coping with target disappearance and reappearance and (iv) VOT-RGBD2021 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2021 dataset was refreshed, while VOT-RGBD2021 introduces a training dataset and sequestered dataset for winner identification. The source code for most of the trackers, the datasets, the evaluation kit and the results along with the source code for most trackers are publicly available at the challenge website1. © 2021 IEEE.

First Page

2711

Last Page

2738

DOI

10.1109/ICCVW54120.2021.00305

Publication Date

11-24-2021

Keywords

Codes (symbols), Tracking (position), Benchmarking activity, Long-term tracking, Real- time, Source codes, State of the art, Training dataset, Visual object tracking, Computer vision

Comments

IR Deposit conditions: non-described

Recommended Citation

M. Kristan et al., "The Ninth Visual Object Tracking VOT2021 Challenge Results," 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, pp. 2711-2738, doi: 10.1109/ICCVW54120.2021.00305.