Version after Accepted▼
(Accepted Version) Online First Publishing Date: 2021-10-22 16:55:38
ST-GCN human action recognition based on new partition strategyChinese Full Text
YANG Shiqiang;LI Zhuo;WANG Jinhua;HE Duo;LI Qi;LI Dexin;
Abstract: Human action recognition is an important technology in the fields of intelligent monitoring， human-machine interaction， robotics and so on. The action recognition method based on human skeleton sequence has inherent advantages in the face of complex background， changes in human scale， viewing angle and motion speed. Spatial-Temporal Graph Convolution Networks model （ST-GCN） has excellent recognition performance in human behavior recognition. A new partition strategy is designed aiming at the pro... More
- Series：
(I) Electronic Technology ＆ Information Science
- Subject：
Computer Software and Application of Computer
- Classification Code：
TP391.41
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