Personnel Tracking Method of Coal Preparation Plant Based on Improved MeanShift Algorithm

In view of problem of object losing because that traditional MeanShift algorithm used in intelligent video monitoring is easy to be disturbed by background, the paper proposed a personnel tracking method of coal preparation plant combining with MeanShift algorithm and Kalman filtering algorithm. The method firstly segments object tracking region through motion detection method, and predicts starting point of next frame tracking window through Kalman filtering algorithm, then uses MeanShift algorithm to track object region on the basis. In order to prevent tracking failure because of complex environment of coal preparation plant, the method combines with tracking and detection to further ensure robustness of tracking. The experiment result showed that the method can eliminate influence of similar color region in background and has better tracking effect.