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Proceedings Paper

Performance analysis of color spaces for optimally fitting the active shape model
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Paper Abstract

Tracking non-rigid objects such as people in video sequences is a daunting task due to computational complexity and unstable performance. Special considerations for digital image processing are required when an object of interest changes its shape between consecutive frames. Traditionally active shape models (ASMs) have not include a color information in their formation. We present several extensions of the ASM for color images using different color-adapted objective functions. We also analyze the performance of color ASM models in RGB, YUV, or HIS color spaces.

Paper Details

Date Published: 21 May 2004
PDF: 12 pages
Proc. SPIE 5299, Computational Imaging II, (21 May 2004); doi: 10.1117/12.526554
Show Author Affiliations
Sangjin Kim, Chung-Ang Univ. (South Korea)
Jinyoung Kang, Chung-Ang Univ. (South Korea)
Jeongho Shin, Chung-Ang Univ. (South Korea)
Joonki Paik, Chung-Ang Univ. (South Korea)


Published in SPIE Proceedings Vol. 5299:
Computational Imaging II
Charles A. Bouman; Eric L. Miller, Editor(s)

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