Moving Object Detection and Tracking Algorithm

Moving object detection and tracking play an important role in the intelligent video surveillance system. The traditional moving object detection algorithm seems sensitive to light and shows poor antiinterference performance. Therefore, a new method is proposed combining the inter-frame difference method with improved background subtraction method which makes use of color and texture information and dual-threshold is used to detect moving targets and makes multiple judgments. In addition, Meanshift and Kalman filtering algorithm are used to track the moving object, fast moving objects can be tracked acutely with this method. The experiments show that the algorithm proposed is adopted to detect and the moving target accurately and can resist interferences brought about by the slow slight movements in the scene with better robustness.