Fast object tracking based on template matching and region information fusion extraction

Liman Liu; Yun Chen; Haihua Liu

doi:10.1117/12.2230462

14 December 2015 Fast object tracking based on template matching and region information fusion extraction

Liman Liu, Yun Chen, Haihua Liu

Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98121F (2015) https://doi.org/10.1117/12.2230462
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

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.

Citation Download Citation

Liman Liu, Yun Chen, and Haihua Liu "Fast object tracking based on template matching and region information fusion extraction", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121F (14 December 2015); https://doi.org/10.1117/12.2230462

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