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Proceedings Paper

Adaptive template-updating strategy based on singular value decomposition
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Paper Abstract

The problem of image matching and target tracking based on singular value decomposition (SVD) is discussed. The SVD has robust performance that is invariant to image disturbance and it makes the singular value credible to represent the image as an algebraic feature. A template-updating strategy is proposed to update the current template based on the scale invariant character of the singular value vector. The updated template that contains the accurate target is adaptively acquired according to the singular value's scale invariance. Experiments are performed on a large test set and the results show that the proposed strategy is practical and efficient in target tracking.

Paper Details

Date Published: 15 November 2007
PDF: 5 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861A (15 November 2007); doi: 10.1117/12.748104
Show Author Affiliations
Guogang Wang, Shenyang Institute of Automation (China)
Graduate School of Chinese Academy of Sciences (China)
Zhijia Zhang, Shenyang Univ. of Technology (China)
Zelin Shi, Shenyang Institute of Automation (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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