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A target detection algorithm based on neighborhood structure measurement in video surveillance

Video surveillance is to monitor the moving targets for detection, tracking and behavior analysis, but one of its problems is the accuracy of detection. In this paper, an effective algorithm for moving targets detection and background separation in video surveillance was proposed. We used the vector field based on neighborhood structure measurement to detect the moving target and eliminate the impact of moving target detection caused by shadow. Meanwhile we compared the traditional methods with our algorithm to illustrate the efficiency in detecting the whole moving targets in video.