FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object detection and re-ID in a single network is appealing since it allows joint optimization of the two tasks and enjoys high computation efficie...

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Veröffentlicht in:	International journal of computer vision Jg. 129; H. 11; S. 3069 - 3087
Hauptverfasser:	Zhang, Yifu, Wang, Chunyu, Wang, Xinggang, Zeng, Wenjun, Liu, Wenyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Springer Nature B.V
Schlagworte:	Accuracy Artificial Intelligence Computer Imaging Computer Science Computer vision Datasets Human-computer interaction Image Processing and Computer Vision Machine vision Multiple target tracking Object recognition Optimization Pattern Recognition Pattern Recognition and Graphics Source code Vision FairMOT Multi-object tracking One-shot Anchor-free Real-time inference
ISSN:	0920-5691, 1573-1405
Online-Zugang:	Volltext
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