Video behavior recognition based on actional-structural graph convolution and temporal extension module

Video behavior recognition based on actional-structural graph convolution and temporal extension module

Human behavior recognition has always been a hot spot for research in computer vision. In this paper, we propose a novel video behavior recognition method based on Actional-Structural Graph Convolution and a Temporal Extension Module under the framework of a Spatio-Temporal Graph Convolution Neural...

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Bibliographic Details
Main Authors: Hui Xu, Jun Kong, Mengyao Liang, Hui Sun, Miao Qi
Format: Article
Language:English
Published: AIMS Press 2022-09-01
Series:Electronic Research Archive
Subjects:
skeleton-based behavior recognition
graph convolution network
temporal extension module
attention mechanism
spatio-temporal features
Online Access:http://www.aimspress.com/article/doi/10.3934/era.2022210?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/era.2022210?viewType=HTML

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