A multiple objects tracking method based on a combination of camshift and object trajectory tracking

Abstract

Multiple objects tracking in dynamic background is one of the key techniques in computer vision. An improved method of multiple objects tracking based on a combination of Camshift and object trajectory tracking is presented in this paper. The algorithm uses Harris corner matching to estimate background movement parameters, adopts two-frame difference to detect moving objects, combines object trajectory tracking with Camshift track moving objects. Our improved algorithm can achieve satisfactory effect not only in tracking multiple objects, but also in tracking continuously the objects which are static, re-enter the current scene or recover motion. The experiments show that the improved algorithm can achieve better result in the accuracy and robustness of detecting and tracking moving objects for dynamic background.