Action Recognition Using Attention-Joints Graph Convolutional Neural Networks

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks

Human skeleton contains significant information about actions, therefore, it is quite intuitive to incorporate skeletons in human action recognition. Human skeleton resembles to a graph where body joints and bones mimic to graph nodes and edges. This resemblance of human skeleton to graph structure...

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Bibliographic Details
Main Authors: Tasweer Ahmad, Huiyun Mao, Luojun Lin, Guozhi Tang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human action recognition
attention-joints
graph convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/8939357/

Internet

https://ieeexplore.ieee.org/document/8939357/

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