Learning Clip Representations for Skeleton-Based 3D Action Recognition
This paper presents a new representation of skeleton sequences for 3D action recognition. Existing methods based on hand-crafted features or recurrent neural networks cannot adequately capture the complex spatial structures and the long-term temporal dynamics of the skeleton sequences, which are ver...
| Main Authors: | Ke, Q., Bennamoun, M., An, Senjian, Sohel, F., Boussaid, F. |
|---|---|
| Format: | Journal Article |
| Published: |
IEEE
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/70054 |
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