高电压技术2024，Vol.50Issue(5)：1842-1854,13.DOI:10.13336/j.1003-6520.hve.20240404
基于计算机视觉的电力作业人员行为分析研究现状与展望
Research Status and Development of Computer-vision-based Power Workers' Behavior Analysis
摘要
Abstract
Effective supervision of power workers is the basis for ensuring the safe power production.In this paper,we categorize and summarize the research on the behavior recognition of power workers in video,including static behavior analysis(clothing analysis,action analysis,and combination analysis)and dynamic behavior analysis(complex actions,temporal behavior,and behavior prediction,etc.).We provide a detailed overview of the core algorithmic modules in the analysis of power operation behaviors,including target detection,pose estimation,and video tracking,and others.We also discuss the challenges and difficulties in applying these techniques in terms of algorithm efficiency,robustness,and flexi-bility,and put forward the future development direction of the field of intelligent monitoring of power operation behaviors;meanwhile,the emphasis is put on the potential opportunities in technological innovation and improvement through the integration of hardware and software,general large models,and generative artificial intelligence.关键词
行为分析/视觉理解/电力监控/目标检测/姿态估计/视频跟踪/行为预测Key words
behavior analysis/visual recognition/power monitoring/object detection/pose estimation/video tracking/behavior prediction引用本文复制引用
闫云凤,陈汐,金浩远,齐冬莲,储海东,汪金维..基于计算机视觉的电力作业人员行为分析研究现状与展望[J].高电压技术,2024,50(5):1842-1854,13.基金项目
国家自然科学基金(62127803) （62127803）
浙江省科技计划项目(2022C01056).Project supported by National Natural Science Foundation of China(62127803),Key R&D Project of Zhejiang Province(2022C01056). （2022C01056）
