Based the Gradient and Color Models for Object Tracking in Videos

Moving objects tracked is a challenge in the research field of computer vision, a video moving objects tracking algorithm based on the combination of appearance model is presented in this paper. Gradient information was used separately as well as in conjunction with color information. The objects appearance model was then represented in the form of a histogram which used gradient and color feature spaces, and frame-to-frame tracking is performed using mean-shift program. The experimental result showed that this method could be used to track complex background images and objects of the occlusions movement.