The Research Of Automatically Tracking And Recognizing Technology On Dynamic Image

The visual information, especially the dynamic visual information, occupies most of the composition among the environment information perceived by human beings.Therefore, the dynamic visual information has become an important research field of the computer vision in the perceiving environment. Object detection and tracking based on video-stream, which includes up-to-date technologies like image processing, pattern recognition, artificial intelligence,automatic control, computer science, etc, is becoming an important domain in the area of computer image processing. But currently, the detection and tracking technologies are not perfect in detecting and tracking the moving object in complex environment or in large area with multi-targets. The methods still need to be improved. According to current status,this paper realizes a system which can recognize and track moving object in laboratory, and make the target always lie in the center of imaging frame by controlling a servo devices and lens. In this paper, object'recognizing and objects'automatically tracking have been discussed.Haar feature is used to identify the object, as long as the training samples is enough, the identification can be achieved good results。Tracking object on use of algorithm CamShift based on identification. High-speed tracking problem under disturbed situations could be solved effectively and easily by merging Kalman filter into CamShift algorithm. Applying these methods researched in this thesis, a system with CCD camera, which can detect and track object quickly and automatically, is built. The real-time and efficiency of this system is verified by some object detection and tracking experiments in different scenes such as simple background, complex background, jamming and obstruct.