Ball and player tracking in soccer game based on normalized correlation method using divided template

摘要

For contents based retrieval in video, it is necessary to describe the video contents. Especially, positions of moving objects in an image are important content description. So far, a nomalized correlation method was widely used for moving object tracking. However, it is difficult to correctly track the object by a normalized correlation method, because it is sensitive to local intenity change and partial occlution due to whole template matching. In order to solve this problem, we propose the ball and player tracking based on normalized correlation method by dividing the template. The divided template can solve the local intensity change and partial occlution.