Deep Fusion of Skeleton Spatial–Temporal and Dynamic Information for Action Recognition

Deep Fusion of Skeleton Spatial–Temporal and Dynamic Information for Action Recognition

Focusing on the issue of the low recognition rates achieved by traditional deep-information-based action recognition algorithms, an action recognition approach was developed based on skeleton spatial–temporal and dynamic features combined with a two-stream convolutional neural network (TS-CNN). Firs...

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Bibliographic Details
Main Authors: Song Gao, Dingzhuo Zhang, Zhaoming Tang, Hongyan Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
skeleton spatial–temporal feature
skeleton dynamic feature
feature enhancement
action recognition
two stream convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/24/23/7609
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