Design of real-time single object tracking system under complex background

This paper develops a new real-time single object tracking system under camera rotation freely. Optical-flow and color information are combined and it proposes a simple and feasible method by updating the feature point to update the template. By capturing the corner and combining with pyramid-optical-flow the problem of real-time tracking in optical-flow is solved. The rotation and tracking under partial occlusion are settled through introducing the color probability distribution and recapturing the feature points. It is proved by experiment that this system is insensitive to the environment and shows a good performance.