Enhanced Topology Representation Learning for Skeleton-Based Human Action Recognition

• Published in: Procedia computer science Vol. 246; pp. 3093 - 3102
• Main Authors: Anh, Vu Ho Tran, Nguyen, Thi-Oanh
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2024
• Subjects: Graph Convolutional Networks; Graph Neural Networks; Multi-stream network; NTU; NUCLA; Regularization; Skeleton-based human action recognition; NUCLA; Skeleton-based human action recognition; Multi-stream network; Regularization; Graph Convolutional Networks; NTU; Graph Neural Networks
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2024.09.363

We propose an enhanced topology representation learning method for the Skeleton-Based Human Action Recognition problem. In this work, we investigate the application of an adaptive graph convolutional layer within the Spatial-Temporal Graph Convolutional Network (ST-GCN) to learn a flexible topology...