Pose-guided feature region-based fusion network for occluded person re-identification

Learning distinguishing features from training datasets while filtering features of occlusions is critical to person retrieval scenarios. Most of the current person re-identification (Re-ID) methods based on classification or deep metric representation learning tend to overlook occlusion issues on t...

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Veröffentlicht in:	Multimedia systems Jg. 29; H. 3; S. 1771 - 1783
Hauptverfasser:	Xie, Gengsheng, Wen, Xianbin, Yuan, Liming, Wang, Jianchen, Guo, Changlun, Jia, Yansong, Li, Minghao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Schlagworte:	Accuracy Body parts Classification Computer Communication Networks Computer Graphics Computer Science Computer vision Cryptology Data Storage Representation Datasets Deep learning Machine learning Methods Multimedia Information Systems Occlusion Operating Systems Pedestrians Pose estimation Representations Role of Deep Learning Models & Analytics in Industrial Multimedia Environment Special Issue Paper Region-based fusion Occluded Person re-identification Pose guided
ISSN:	0942-4962, 1432-1882
Online-Zugang:	Volltext
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