Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition

Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph convolutional networks (GCN), which can model the human body skeletons as spatial and temporal graphs, have shown remarkable potential in skeleton-based action recognition. However, in the existing GCN-based methods, graph-structured representation of the human skeleton makes it difficult to b...

Full description

Bibliographic Details
Main Authors: Han Chen, Yifan Jiang, Hanseok Ko
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Action recognition
attention mechanism
feature fusion
graph convolutional networks
human skeleton
pose information
Online Access:https://ieeexplore.ieee.org/document/9919831/

Internet

https://ieeexplore.ieee.org/document/9919831/

Similar Items