Moving Target Video Tracking Of Key Technologies

Video tracking of moving object is a hot and latest direction in today's information technology field. It refers to lots of subjects, including computer science, automation control, computer vision, image processing, pattern recognition and math. The thesis put the intelligent surveillance system as the thread, focused on moving object detection and moving object tracking in stable background.The intelligent surveillance system can automatically analyze the sequence of images by the methods of computer vision and video analysis. The system can position, recognize and track objects in a moving environment. Furthermore, it can also analyze and judge the movement of objects. The aims of this system are to understand the meanings of video stream and to explain the scenes comprehensibly, hence to guide actions and make decisions. Some of the intelligent surveillance systems have successfully been applied to army and industry, but the project still faces lots of challenges. A large number of researchers have been studying the subject and achieved many progresses. This paper was based on these achievements.Firstly, the different kinds of detection methods with their advantages and disadvantages were concluded. We mainly researched the Gauss Mixture Model, and then put the maximizing likelihood idea into the Gauss Mixture Model. The new method was more rigorous, and the detection results can meet the requirements.Secondly, the methods about image enhancement, image filter and image segmentation were concluded, and then some experiment results were given. We extended the image enhancement method, which can used to enhance some dots and threads.Finally, we used the Kalman filter to forecast the position of the moving object in the next frame. The method can reduce the search space in order to improve the efficiency.