Unveiling the Power of Self-Supervision for Multi-View Multi-Human Association and Tracking
Multi-view multi-human association and tracking (MvMHAT), is an emerging yet important problem for multi-person scene video surveillance, aiming to track a group of people over time in each view, as well as to identify the same person across different views at the same time, which is different from...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2024) vom: 19. Sept.
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| 1. Verfasser: |
Feng, Wei
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Feifan,
Han, Ruize,
Gan, Yiyang,
Qian, Zekun,
Hou, Junhui,
Wang, Song |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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