Abstract: Kernelized correlation filters is a very useful tracking algorithm in practice,whose algorithm is simple and requires only one dense sampling in the next frame for tracking,however the applicability is insufficient when tracking object with scale changes.In this paper,we used kernelized correlation filter tracking algorithm with scale compensation to improve the original algorithm.Firstly,we used point tracking compensation mechanism for this algorithm to compensate for scale changes and shift change.Secondly,we modeled the target with features extracted from compressed sen-sing and detected the tracking object in key frame for the sake of error in the scale estimation.The algorithm is tested in standard tracking library and compared with original tracking tracking algorthm in center error and the actual overlapped rate.The results show that the tracking algorithm with scale compensation in this paper improves accuracy and practicality when used in vedio with scale attributes.

Key words: Object tracking,Kernelised correlation filter,Compressive sensing,Point tracking,Scale estimation