Aiming at the problem that traditional Mean Shift tracking algorithm cannot track target accurately on such these cases that background interference involved or target is occluded

a new tracking algorithm based on features matching motion detection prediction is proposed. The method extracts tracking target feature points by the Harris algorithm to realize motion location detection. The original iteration position is estimated by the Kalman filter

iterative searching of moving target starts at the location to shrink the searching scope and target tracking finally realized. The results of experiment indicate that the algorithm can detect location of tracking target accurately

effectively improve tracking effect while interference existed in the cluttering background

and the improved algorithm owns strong robustness.