Applied-Information Technology in Adaptive Kalman Filter with Model Error and Noise Error

Kalman filter is successfully used to predict the object position under occlusion in this paper. Firstly, according to the target location in the previous frame, Kalman filter predicts target location in the current frame adaptively.Secondly, find the real target location in the neighborhood by mean shift algorithm. Finally, update the filter parameters. Because the adaptive Kalman filter predicts target location through system equation, it can improve the tracking effect in occlusion in a certain degree.