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Proceedings Paper

Fast object tracking based on template matching and region information fusion extraction
Author(s): Liman Liu; Yun Chen; Haihua Liu
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Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 9 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121F (14 December 2015); doi: 10.1117/12.2230462
Show Author Affiliations
Liman Liu, South-Central Univ. for Nationalities (China)
Yun Chen, South-Central Univ. for Nationalities (China)
Haihua Liu, South-Central Univ. for Nationalities (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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