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SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes

2022-11-14 08:09:38
Jie Wang, Yuzhou Peng, Xiaodong Yang, Ting Wang, Yanming Zhang
arXiv_CV
           
Abstract

The SportsMOT competition aims to solve multiple object tracking of athletes in different sports scenes such as basketball or soccer. The competition is challenging because of the unstable camera view, athletes' complex trajectory, and complicated background. Previous MOT methods can not match enough high-quality tracks of athletes. To pursue higher performance of MOT in sports scenes, we introduce an innovative tracker named SportsTrack, we utilize tracking by detection as our detection paradigm. Then we will introduce a three-stage matching process to solve the motion blur and body overlapping in sports scenes. Meanwhile, we present another innovation point: one-to-many correspondence between detection bboxes and crowded tracks to handle the overlap of athletes' bodies during sports competitions. Compared to other trackers such as BOT-SORT and ByteTrack, We carefully restored edge-lost tracks that were ignored by other trackers. Finally, we reached the top 1 tracking score (76.264 HOTA) in the ECCV 2022 DeepAction SportsMOT competition.

Abstract (translated)

URL

https://arxiv.org/abs/2211.07173

PDF

https://arxiv.org/pdf/2211.07173.pdf

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