Paper
21 May 2004 Performance analysis of color spaces for optimally fitting the active shape model
Author Affiliations +
Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.526554
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sangjin Kim, Jinyoung Kang, Jeongho Shin, and Joonki Paik "Performance analysis of color spaces for optimally fitting the active shape model", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.526554
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
RGB color model

Video

Principal component analysis

Performance modeling

Shape analysis

Video surveillance

Cameras

Back to Top