Method of object tracking based on correlation filters：a survey

Abstract

Object tracking is an important part in computer vision and is widely used in military, medical, security and autonomous driving. Although great progress has been made, it is still a challenging research field due to the factors such as occlusion, rapid speed, motion blur, illumination and deformation. In recent years, the correlation filter tracking method, one of discriminant type, has attracted much attention due to its higher processing speed. We first introduces the basic knowledge of the object tracking and the correlation filter tracking, and the correlation filter tracking methods in simple stage, we also discussed the circular structure and the kernel trick, the combination of multiple feature channels and deep feature, scale research, boundary effect and the use of other information. Finally, the research direction and development trend of the method based on the correlation filter is given.

Keywords

• computer vision
• object tracking
• correlation filter