A new representation of skeleton sequences for 3D action recognition
© 2017 IEEE. This paper presents a new method for 3D action recognition with skeleton sequences (i.e., 3D trajectories of human skeleton joints). The proposed method first transforms each skeleton sequence into three clips each consisting of several frames for spatial temporal feature learning using...
| Main Authors: | Ke, Q., Bennamoun, M., An, Senjian, Sohel, F., Boussaid, F. |
|---|---|
| Format: | Conference Paper |
| Published: |
2017
|
| Online Access: | http://hdl.handle.net/20.500.11937/70274 |
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