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Proceedings Paper

Layered fast correlation tracking algorithm combined with target feature
Author(s): Yang Bai; Hong-guang Jia; Li-hong Guo; Rong-hui Zhang
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Paper Abstract

A new correlation tracking algorithm, layered fast correlation tracking algorithm combined with target feature, is proposed for target tracking in image sequences. Based on traditional correlation tracking algorithm, according to resolution of real-time image, the proposed algorithm chooses the designated layer image. At the same time the proposed algorithm uses a new search method combined with the target features to predict matching position, which can improve the matching precision and reduce computational complexity. In addition, the experimental results indicate that the proposed algorithm can overcome the influence of gray mutation and satisfy the requirement of real-time.

Paper Details

Date Published: 20 May 2009
PDF: 4 pages
Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 72834G (20 May 2009); doi: 10.1117/12.828826
Show Author Affiliations
Yang Bai, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)
Hong-guang Jia, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Li-hong Guo, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Rong-hui Zhang, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 7283:
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Yudong Zhang; James C. Wyant; Robert A. Smythe; Hexin Wang, Editor(s)

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