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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Autors principals:	Ningtao Liu, Jie Du, Shiliang Chang, Ke Zheng, Ji Xiao, Jiaming Zhang, Shishun Tan
Format:	Artigo
Idioma:	Inglês
Publicat:	Springer 2025-08-01
Col·lecció:	Discover Artificial Intelligence
Matèries:	Improved OpenPose algorithm Electric power operators Dangerous behavior Classification and recognition Skeletons keypoints Spatiotemporal behavior graph
Accés en línia:	https://doi.org/10.1007/s44163-025-00413-7
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