A weighted least squares image matching based target tracking algorithm

Xiaohu Zhang; Lichun Li; Xianwei Zhu; Yang Shang; Qifeng Yu

doi:10.1117/12.725355

11 January 2007 A weighted least squares image matching based target tracking algorithm

Xiaohu Zhang, Lichun Li, Xianwei Zhu, Yang Shang, Qifeng Yu

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62793J (2007) https://doi.org/10.1117/12.725355
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

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.

Citation Download Citation

Xiaohu Zhang, Lichun Li, Xianwei Zhu, Yang Shang, and Qifeng Yu "A weighted least squares image matching based target tracking algorithm", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793J (11 January 2007); https://doi.org/10.1117/12.725355

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available