The Implementation of Information Processing Algorithm for Intelligent Video Surveillance System

The application of modern intelligent video surveillance system was more and more, and in this paper, an adaptive background model based on color space transformation was constructed and the shadow elimination algorithm was optimized. In particular, when the target detection was completed by the RGB space, the detection of the foreground target would be locked to the active contour rectangle. And its real-time tracking was obtained; the target's shadow brightness information was used in the elimination of HSV space. It could be seen from the analysis of the final policy that the algorithm could achieve the goal of video tracking under the condition of changing the size of the target or occlusion. Compared with the traditional algorithm, it had a good advantage.