The Research Of Moving Object Detection And Tracking Algorithm In Serial Image

In this paper, the detection and tracking of moving vehicles in the visual road traffic detection system as application background, conducted in-depth analysis and study of the problem of background update, shadow elimination, moving object tracking and camera auto-calibration on moving target detection, proposed some new algorithms. The main content is as follows:1. This paper analyzes of the current moving object segmentation and detection methods. Including the movement of priority algorithms and split the priority algorithm. Put forward a new algorithm of background reconstruction. Algorithm to image any pixel background probability criterion. Characteristic is to save memory, with the new speed, count the number of frames much. Experimental validation is reliable and effective.2. For the elimination of shadow interference, puts forward a shadow interference cancellation algorithm that combination of gray information and the structure information, for shadow type discrimination, on this basis, using statistical methods to detect the target and shadow boundary, and using multiple cutoff point fitting a line as a target and shadow segmentation boundary, in orders to better experimental results.3. Through the analysis of current target tracking method, puts forward a improved target tracking algorithm that combination area correction. Because of the imaging system, the same target gives some error of moving target tracking in different frames in a different location, different area size. The algorithm makes up for this error, combining with CM (1,1) model to forecast, and obtained a better experimental effect.4. It analyzes the main methods of camera calibration. In the intelligent transportation of camera calibration, the available prior knowledge is of moving object in image sequence is the vehicle, which account for the majority of the cars. If the actual area of the car is known, this paper puts forward a CCD automatic calibration algorithm of using these priors knowledge. The experimental result is reliable and effective.The proposed algorithms of moving vehicle detection, tracking, camera automatic calibration and shadow interference cancellation, have certain theory significance and practical value, can be extended to other applications in visual surveillance, and have broad application prospects.