The DESO filter based on the template matching alogrithm
Qijie Li, Tianqing Chang, Xuejun Jiao · 2012
A novel approved algorithm based on template matching is proposed. This algorithm is used to predict the movement of the target and track the target. By utilizing the DESO(Differential Extended State Observer) filter, it is possible to obtain the estimate position of the target in the current image. The template matching algorithm is used to search target around the estimation position. The simulation results of the algorithm are presented. The proposed algorithm demonstrates better performance characteristics than traditional template matching algorithm. Experimental results also demonstrate the effectiveness of this method. Through the simulation experiment, it can be seen that regardless of the goal of uniform motion or motion with variable velocity, DESO motion prediction based on the template matching algorithm can accurately predict the trajectory of the target, and does not depend on the target motion model. The use of DESO is simple, the transition time is short and the tracking performance is satisfying.