An improved correlation filtering based on position prediction

Aiming at the problem that traditional correlation filtering method cannot track fast moving and motion blurred targets very well, a novel correlation filtering based on position prediction algorithm was proposed. Based on the traditional correlation filtering, the prediction based on the target motion vector is introduced to fully consider the target motion information and improve the accuracy of the tracking method. Second, the transform correlation filtering algorithm is used to determine the location of the target in current frame. Third, the correlation filter is used to extract the target area. Finally, the improved algorithm and the traditional algorithm were tracked on four public data sets respectively, and three evaluation criteria were selected to analyze the results. The results show that the proposed algorithm has high accuracy and robustness in tracking fast moving and motion blurred targets.