全球能源互联网（英文）2022，Vol.5Issue(6)：618-626,9.DOI:10.1016/j.gloei.2022.12.004
基于图像序列的电力运检人员安全风险行为检测技术
Image sequence-based risk behavior detection of power operation inspection personnel
摘要
Abstract
A novel image sequence-based risk behavior detection method to achieve high-precision risk behavior detection for power maintenance personnel is proposed in this paper. In this method, the original image sequence data is first separated from the foreground and background. Then, the free anchor frame detection method is used in the foreground image to detect the personnel and correct their direction. Finally, human posture nodes are extracted from each frame of the image sequence, which are then used to identify the abnormal behavior of the human. Simulation experiment results demonstrate that the proposed algorithm has significant advantages in terms of the accuracy of human posture node detection and risk behavior identification.关键词
人体姿态节点检测/安全风险行为检测/图像序列/自由锚框检测/电力运检人员Key words
Human posture node detection/Risk behavior detection/Image sequence/Anchor-free detection/Power maintenance personnel引用本文复制引用
蔡常雨,聂江龙,莫文昊,贺洲强,谈元鹏,陈钊..基于图像序列的电力运检人员安全风险行为检测技术[J].全球能源互联网（英文）,2022,5(6):618-626,9.基金项目
This study is supported by the project"Research and application of key technologies of safe production management and control of substation operation and maintenance based on video semantic analysis"(5700-202133259A-0-0-00)of the State Grid Corporation of China. （5700-202133259A-0-0-00）
