Combining Pose and Trajectory for Skeleton Based Action Recognition using Two-Stream RNN
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IEEE
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http://xplorestaging.ieee.org/ielx7/8966769/8996152/08997171.pdf?arnumber=8997171
Cited by 4 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. Application of Deep Learning Methods in the Intelligent Analysis of Sprint Training Postures;2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII);2024-06-12
2. Pose Driven Deep Appearance Feature Learning for Action Classification;International Conference on Innovative Computing and Communications;2022-09-23
3. A Lightweight Hierarchical Model with Frame-Level Joints Adaptive Graph Convolution for Skeleton-Based Action Recognition;Security and Communication Networks;2021-11-01
4. A Novel Multi-feature Skeleton Representation for 3D Action Recognition;Pattern Recognition. ICPR International Workshops and Challenges;2021
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