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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Vydané v:	International journal of computer vision Ročník 129; číslo 11; s. 3069 - 3087
Hlavní autori:	Zhang, Yifu, Wang, Chunyu, Wang, Xinggang, Zeng, Wenjun, Liu, Wenyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2021 Springer Springer Nature B.V
Predmet:	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
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