Share Email Print
cover

Proceedings Paper

A weighted least squares image matching based target tracking algorithm
Author(s): Xiaohu Zhang; Lichun Li; Xianwei Zhu; Yang Shang; Qifeng Yu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Moving target tracking is a basic task in the processing of high speed photography. Despite its widely applications, Correlation tracking method can not adapt to the rotation and zoom of target and results in accumulation of tracking error. The Least Squares Image Matching(LSIM) method which is used in photogrammetry is introduced to moving target tracking, and a Weighted Least Squares Image Matching(WLSIM) based tracking algorithm is proposed. The WLSIM based algorithm sets weights according to the target's shape for the Least-Squares Image Matching Algorithm, as a result matching error produced by the background in the tracking window can be avoided. Experimental results are shown to demonstrate the robustness, efficiency and accuracy of the proposed algorithm.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793J (11 January 2007); doi: 10.1117/12.725355
Show Author Affiliations
Xiaohu Zhang, National Univ. of Defense Technology (China)
Lichun Li, National Univ. of Defense Technology (China)
Xianwei Zhu, National Univ. of Defense Technology (China)
Yang Shang, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics

© SPIE. Terms of Use
Back to Top