Fast object tracking based on template matching and region information fusion extraction
Liman Liu, Yun Chen, Haihua Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
In this paper, a fast object tracking algorithm based on template matching and region information fusion extraction is proposed. In the prediction framework, the data connection task is achieved by object template and object information extraction. And then the object is tracked accurately by using the object motion information. We handle the tracking shift by using the confidence estimation strategy. The experiments show that the proposed algorithm has robust performance.