Unsupervised Person Re-identification via Cross-camera Similarity Exploration

Most person re-identification (re-ID) approaches are based on supervised learning, which requires manually annotated data. However, it is not only resource-intensive to acquire identity annotation but also impractical for large-scale data. To relieve this problem, we propose a cross-camera unsupervi...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - (2020) vom: 01. Apr.
1. Verfasser:	Lin, Yutian (VerfasserIn)
Weitere Verfasser:	Wu, Yu, Yan, Chenggang, Xu, Mingliang, Yang, Yi
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2020
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article