Research of Moving Target Tracking Algorithm for Video
Huiying Dong, Shengfu Chen · International journal of intelligent engineering and systems · 2011
In this paper, the correlation tracking algorithm based on the function of minimum average absolute difference is analyzed.In addition, a kind of correlation tracking algorithm based on particle filtering is used to avoid the target shaded by object.And last, Kalman filtering approach is used as the motion model of the multi-target tracking, and the recursive filtering method is adopted to calculate and predict the location of moving targets.The tracking results show that correlation tracking algorithm based on particle filtering can overcome the obstacle occlusion problem perfectly, which can also improve the robustness of target tracking.Besides, target tracking algorithm based on Kalman filtering works well for multi-target tracking, which has great practical significance on tracking technology for moving targets.