Wavelet transform-based hierarchical active shape model for object tracking 


Vol. 29,  No. 11, pp. 1551-1563, Nov.  2004


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  Abstract

This paper proposes a hierarchical approach to shape model ASM using wavelet transform. Local structure model fitting in the ASM plays an important role in model-based pose and shape analysis. The proposed algorithm can robustly find good solutions in complex images by using wavelet decomposition. We also proposed effective method that estimates and corrects object's movement by using Wavelet transform-based hierarchical motion estimation scheme for ASM-based, real-time video tracking. The proposed algorithm has been tested for various sequences containing human motion to demonstrate the improved performance of the proposed object tracking.

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  Cite this article

[IEEE Style]

H. Ki, J. Shin, S. Lee, J. Paik, "Wavelet transform-based hierarchical active shape model for object tracking," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 11, pp. 1551-1563, 2004. DOI: .

[ACM Style]

Hyunjong Ki, Jeongho Shin, Seong-won Lee, and Joonki Paik. 2004. Wavelet transform-based hierarchical active shape model for object tracking. The Journal of Korean Institute of Communications and Information Sciences, 29, 11, (2004), 1551-1563. DOI: .

[KICS Style]

Hyunjong Ki, Jeongho Shin, Seong-won Lee, Joonki Paik, "Wavelet transform-based hierarchical active shape model for object tracking," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 11, pp. 1551-1563, 11. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880