关键词: 强跟踪卡尔曼滤波, 视频图像, 目标跟踪

Abstract: For the poor situation of the classical Kalman filter in filtering of mathematical models and the actual process of mathematical laws mismatch as well as the poorly filtering characteristics，one method of strong tracking Kalman filter in the video image sequences to track the moving target is proposed.This method is based on the introduction of the time-varying fading matrix which can be calculated on-line in the priori error covariance matrix of classical Kalman filter’s recurrence formula，which can enable the gain to time-changing and ensure the adaptive adjustment of the new sequence，as well as make the state filtering more accurate.Experimental results show that the strong tracking Kalman filter in the video moving target has a greater ability，higher accuracy，and the smaller mean square error compared to classical Kalman filter.

Key words: strong tracking Kalman filter, video image, target tracking