Learning Sparse and Identity-Preserved Hidden Attributes for Person Re-Identification
Person re-identification (Re-ID) aims at matching person images captured in non-overlapping camera views. To represent person appearance, low-level visual features are sensitive to environmental changes, while high-level semantic attributes, such as "short-hair" or "long-hair", a...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 29(2020), 1 vom: 18., Seite 2013-2025
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| 1. Verfasser: |
Wang, Zheng
(VerfasserIn) |
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| Weitere Verfasser: |
Jiang, Junjun,
Wu, Yang,
Ye, Mang,
Bai, Xiang,
Satoh, Shin'ichi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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