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Proceedings Paper

Deformable target tracking method based on Lie algebra
Author(s): Yunpeng Liu; Zelin Shi; Guangwei Li
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Paper Abstract

Conventional approaches to object tracking use area correlation, but they are difficult to solve the problem of deformation of object region during tracking. A novel target tracking method based on Lie algebra is presented. We use Gabor feature as target token, model deformation using affine Lie group, and optimize parameters directly on manifold, which can be solved by exponential mapping between Lie Group and its Lie algebra. We analyze the essence of our method and test the algorithm using real image sequences. The experimental results demonstrate that Lie algebra method outperforms other traditional algorithms in efficiency, stabilization and accuracy.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678617 (15 November 2007); doi: 10.1117/12.747859
Show Author Affiliations
Yunpeng Liu, Shenyang Institute of Automation (China)
Graduate School of the Chinese Academy of Sciences (China)
Zelin Shi, Shenyang Institute of Automation (China)
Guangwei Li, Shenyang Institute of Automation (China)
Graduate School of the Chinese Academy of Sciences (China)


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

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