A new method for video object tracking by adaptive Kalman filter

In this paper, a new video moving object tracking method is proposed. In initialization, a moving object selected by the user is segmented and the dominant color is extracted from the segmented target. In tracking step, a motion model is constructed to set the system moof adaptive Kalman filter firstly. Then, the dominant color of the moving object in HSI color space will be used as feature to detect the moving object in the consecutive video frames. The detected result is fed back as the measurement of adaptive Kalman filter and the estimate parameters of adaptive kaman filter are adjusted by occlusion ratio adaptively. The proposed method has the robust ability to track the moving object in the consecutive frames under some kinds of realmoving object disappearing totally or partially dueto occlusion by other ones, fast moving object, changing lighting, changing the direction and orientation ofthe moving object, and changing the velocity of moving object suddenly. The proposed metbod is an efficient video object tracking algorithm.

کلیدواژه ها:

Adaptive Kalman filter ، moving object ، HSI colo space