11 January 2007 A weighted least squares image matching based target tracking algorithm
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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.
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Xiaohu Zhang, Xiaohu Zhang, Lichun Li, Lichun Li, Xianwei Zhu, Xianwei Zhu, Yang Shang, Yang Shang, Qifeng Yu, 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); doi: 10.1117/12.725355; https://doi.org/10.1117/12.725355
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