2D Skeleton-based Action Recognition Using Action-Snippets and Sequential Deep Learning
Author:
Affiliation:
1. Nazarbayev University,School of Engineering and Digital Sciences,Nur-Sultan,Kazakhstan
2. Kumoh National Institute of Technology,ICT Convergence Research Center,Gumi,South Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945402.pdf?arnumber=9945402
Reference27 articles.
1. Global Spatio-Temporal Attention for Action Recognition Based on 3D Human Skeleton Data
2. Learning Geometric Features with Dual–stream CNN for 3D Action Recognition
3. 2D Pose-Based Real-Time Human Action Recognition With Occlusion-Handling
4. Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
5. Simple yet efficient real-time pose-based action recognition
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