Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos. To model spatial-temporal dependencies of human mobility, we propose a multi-focus Gaussian neighborhood attention (GNA), which can effectively exploit long-...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 14., Seite 6032-6047
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| 1. Verfasser: |
Li, Haopeng
(VerfasserIn) |
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| Weitere Verfasser: |
Liu, Lingbo,
Yang, Kunlin,
Liu, Shinan,
Gao, Junyu,
Zhao, Bin,
Zhang, Rui,
Hou, Jun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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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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