Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition
Graph convolutional networks have been widely applied in skeleton-based gait recognition. A key challenge in this task is to distinguish the individual walking styles of different subjects across various views. Existing state-of-the-art methods employ uniform convolutions to extract features from di...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 32(2023) vom: 21., Seite 4773-4784
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1. Verfasser: |
Huang, Xiaohu
(VerfasserIn) |
Weitere Verfasser: |
Wang, Xinggang,
Jin, Zhidianqiu,
Yang, Bo,
He, Botao,
Feng, Bin,
Liu, Wenyu |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2023
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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 |