Classification and recognition method of dangerous behaviors of electric power operators based on improved OpenPose algorithm

Abstract To achieve intelligent identification of dangerous behaviors of electric power workers in complex environment, a classification and identification method based on improved OpenPose algorithm is proposed. The GSP-Darknet network is used to enhance the extraction of key points of small bones,...

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Bibliographic Details

Published in:	Discover Artificial Intelligence
Main Authors:	Ningtao Liu, Jie Du, Shiliang Chang, Ke Zheng, Ji Xiao, Jiaming Zhang, Shishun Tan
Format:	Article
Language:	English
Published:	Springer 2025-08-01
Subjects:	Improved OpenPose algorithm Electric power operators Dangerous behavior Classification and recognition Skeletons keypoints Spatiotemporal behavior graph
Online Access:	https://doi.org/10.1007/s44163-025-00413-7