Algorithm of Moving Object Detection of Surveillance Video Combined with WiFi Technology

In this paper, the algorithm of moving object detection of surveillance video combined with WiFi technology is proposed to solve the problems of moving object detection in complex environment. The algorithm uses WiFi signals to locate people in the camera field of view (FOV). Then the statistical results are compared with the number of moving objects detected by the camera at the same time. Finally, the detection results and background complexity are predicted based on the comparison results. By adjusting the relevant parameters of the moving object detection by feedback mechanism, the adaptive ability of the detection algorithm is further enhanced in the complex background, and the detection robustness of the algorithm is improved. In order to evaluate the performance of this algorithm, WiFi technology is combined with PBAS and SOBS moving object detection algorithms in complex background. The experimental results show that our algorithm can adjust the relevant parameters quickly according to the complexity of the environment, has good environmental adaptability and it can improve the accuracy of moving object detection.

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