A Spatial-Temporal Feature Fusion Strategy for Skeleton-Based Action Recognition-Reference-Cited by-同舟云学术

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A Spatial-Temporal Feature Fusion Strategy for Skeleton-Based Action Recognition

Published:2023-10-16 Issue: Volume: Page:207-215
ISSN:
Container-title:2023 International Conference on Data Security and Privacy Protection (DSPP)
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Author:

Chen Yitian¹,Xu Yuchen²,Xie Qianglai³,Xiong Lei³,Yao Leiyue²

Affiliation:

1. NanChang University,School of Mathematics and Computer Science,NanChang,China

2. Jiangxi University of Chinese Medicine,Key Laboratory of Artificial Intelligence in Chinese Medicine,NanChang,China

3. Jiangxi University of Technology,The Center of Collaboration and Innovation,NanChang,China

Funder

Jiangxi Provincial Department of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404093/10404178/10405203.pdf?arnumber=10405203

Reference43 articles.

1. Advances in human action recognition: an updated survey

2. Survey of Spatio-Temporal Interest Point Detection Algorithms in Video

3. Action recognition based on 2D skeletons extracted from RGB videos

4. Skeleton Transformer Networks: 3D Human Pose and Skinned Mesh from Single RGB Image

5. Human action recognition in RGB-D videos using motion sequence information and deep learning

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