3D Graph Convolutional Feature Selection and Dense Pre-Estimation for Skeleton Action Recognition

3D Graph Convolutional Feature Selection and Dense Pre-Estimation for Skeleton Action Recognition

Action recognition plays an important role in promoting various applications in healthcare and smart education. However, unclear target actions, similar actions, and occluded characters may be encountered in some special scenarios. To solve the issues, a 3D Graph Convolutional Feature Selection and...

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Bibliographic Details
Main Authors: Junxian Zhang, Aiping Yang, Changwu Miao, Xiang Li, Rui Zhang, Dang N. H. Thanh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Skeleton action recognition
feature selection
dense pre-estimation
attention mechanism
smart healthcare
Online Access:https://ieeexplore.ieee.org/document/10398170/

Internet

https://ieeexplore.ieee.org/document/10398170/

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