Image sequence-based risk behavior detection of power operation inspection personnel |
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Affiliation: | 1. Artificial Intelligence Application Department, China Electric Power Research Institute, Beijing 100192, PR China;2. State Grid Gansu Electric Power Company, Lanzhou 730070, PR China |
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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. |
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Keywords: | Human posture node detection Risk behavior detection Image sequence Anchor-free detection Power maintenance personnel |
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