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D$^{\bf{3}}$: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos. (arXiv:2209.12248v1 [cs.CV])
Sept. 27, 2022, 1:13 a.m. | Rui He, Zehua Fu, Qingjie Liu, Yunhong Wang, Xunxun Chen
cs.CV updates on arXiv.org arxiv.org
Tracking multiple athletes in sports videos is a very challenging
Multi-Object Tracking (MOT) task, since athletes often have the same appearance
and are intimately covered with each other, making a common occlusion problem
becomes an abhorrent duplicate detection. In this paper, the duplicate
detection is newly and precisely defined as occlusion misreporting on the same
athlete by multiple detection boxes in one frame. To address this problem, we
meticulously design a novel transformer-based Duplicate Detection
Decontaminator (D$^3$) for training, and …
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