Research On Detection And Track Of Moving Human

The detection and tracking of human motions is key to the visual analysis of human movement, and has also been attached more and more importance to computer visions recent few years. Research in this domain involves wide application (including security surveillance, human-computer interface, the details analysis of human movement, etc.).Especially after the event 9.11, security issues have been paid unprecedented attention around the whole world. The Intelligent Security Monitoring System based on computer vision not only completes the safeguard tasks efficiently, but also saves a great deal of human labor and efforts. Generally, research in the visual analysis of human movement provides a promising application future, as well as great economic benefits to the society.This paper presents an automatic human detection and tracking prototype system, which could analyze and deal with the video image gathered from a fixed digital camera, recognize and keep tracking of human motion. The prototype system consists of movement human detection, movement human tracking,group interfusion and split tracking.The movement human detection section describes many models background model. The background model could adapt to complicated circumstances such as changed weather, changed illumination, disturbed background. Extract movement human body region in RGB,YUV,HSI color space. And then, applying mathematics morphology and connected algorithm realizes accurate motion region division.The movement human tracking section search a movement human body tracking model. The model determinate detected human body's circumferential rectangle frame, also choose 3D location and speed of the rectangle frame opposite angle as characteristic point for tracking, and then forecast and track on characteristic point in 3D space. The experiment indicates that the model does not limit to Gaussian distribution noise and accord with reality. So the model could improve tracking accuracy. When people mutually occlude forming group and then split, the algorithm in this paper matches human based on their color feature, resolves the problem to match human before forming group and after group splitting, and achieves satisfied results. The algorithm is fast and robust.The system has been demonstrated through a series of tests with video images gathered from both indoor and outdoor, showing great practicability.