Electric Power Operation Site Management and Control Technology Based on Video Dynamic Tracking Technology

In order to improve the level of power field management and control, according to the requirements of power field management and control, this paper proposes a lightweight adaptive algorithm based on ORB and multi-feature fusion of particle filter to achieve fast detection and real-time tracking of moving targets. Tests show that the efficiency of human pose identity tracking in power field supported by this algorithm is about 4 times higher than that of traditional feature matching tracking. The recognition accuracy of human identity target is 100%, the absolute error of camera attitude estimation is less than 0.01°, and the algorithm has strong real-time performance. Therefore, the application of the video dynamic tracking technology can effectively identify the continuous detection and tracking of moving targets in the power operation site, which is of great significance to improve the safety control level of the power operation site.