In the field of intelligent video surveillance and the multimedia applications we usually need to detect the moving object which is separated from the background. The results of the moving object detection would affect the subsequent identification, classification and tracking. Meanwhile shadow detection and suppression are also the important technology of the intelligent video surveillance. Because the moving object and shadow usually has the same behavioral characteristics, which has led to the errors of object recognition and tracking and affect the robustness of system seriously. This article studies the principle and algorithm of background subtraction, and has a detailed discussion and analysis. Shadow detection and suppression algorithms based on the YUV color space for processing. The experiment result shows that the algorithms for moving object detection with a better accuracy and stability of this paper.
Intelligent Video Surveillance System Based on Moving Object Detection and Tracking
