Multi-person interaction action recognition based on co-occurrence graph convolutional network
Author:
Affiliation:
1. Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China,110819
2. Chinese Academy of Sciences,State Key Laboratory of Robotics, Shenyang Institute of Automation,Shenyang,China,110016
Funder
State Key Laboratory of Robotics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032843/10032844/10033469.pdf?arnumber=10033469
Reference23 articles.
1. Interaction relational network for mutual action recognition;perez;IEEE Transactions on Multimedia,2021
2. Skeleton-Based Human Action Recognition With Global Context-Aware Attention LSTM Networks
3. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
4. Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition
5. View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. TFC-GCN: Lightweight Temporal Feature Cross-Extraction Graph Convolutional Network for Skeleton-Based Action Recognition;Sensors;2023-06-15
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