Online parameter based Kalman filter precision evaluation method for video target tracking

In this paper, we propose a new method for evaluating the precision of Kalman filter in video target tracking. Firstly, the performance evaluation model is presented which is different from the usual method that we handle the video. Then the parameter that used to assess the performance of the tracking algorithms is defined and utilized in effective evaluation procedure. In the end, experiments are conducted to validate the proposed approach, which indicates that the proposed performance evaluation norm can not only reflect at which part the algorithm performs well or not, but also can perceive the precision of Kalman filter in target tracking.