Self-Supervised Multi-Object Tracking with Path Consistency

In this paper, we propose a novel concept of path consistency to learn robust object matching without using manual object identity supervision. Our key idea is that, to track a object through frames, we can obtain multiple different association results from a model by varying the frames it can obser...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Lu, Zijia, Shuai, Bing, Chen, Yanbei, Xu, Zhenlin, Modolo, Davide
Format:	Artikel
Sprache:	eng
Schlagworte:	Consistency Frames Matching Multiple target tracking
Online-Zugang:	Volltext
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