Motion Face Detection And Tracking Research Based On Color Arry Images

With the development of information technology and the need of intelligent human-computer communication, research on human face problems becomes an important branch of computer domain, and it has much more use values and research achievements. Human face problems consist of four of human face parts: human face detection, human face tracking, identification and the interrelated pose and expression. This paper does research mainly on human detection and human tracking.The paper analyzes and summarizes the correlative representative algorithms about movement detection both home and abroad, and presents a comprehensive motion detection method based on motion detection and identification. Firstly use symmetric difference of frame-difference to detect the moving object, and then identify the body after detection. This assignment mainly considers the object fully into the field.Compared with other background objects, face skin and facial features have more stable and specific colors. Hence skin color based methods have attracted much research interests in human face detection and recognition. We detect the human using complexion model and face feature.The paper analyzes the Camshift algorithm, face detection algorithm combined with Camshift algorithm, to achieve the objectives of the Single Face Tracking.