Paper
19 January 2006 A new segmentation approach using Gaussian color model and temporal information
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771T (2006) https://doi.org/10.1117/12.642951
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
A new segmentation approach usable for fixed or motion compensated camera is described. Instead of the often used RGB color space we operate with the invariant Gaussian color model proposed by Geusebroek and temporal information which eliminates unsteady regions surrounded by the moving objects. The Gaussian color model has never been used in video segmentation. Comparison with some state of the art methods in which both subjective and objective evaluation are applied proof the good performance of the proposed method.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mustafa Karaman, Lutz Goldmann, and Thomas Sikora "A new segmentation approach using Gaussian color model and temporal information", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771T (19 January 2006); https://doi.org/10.1117/12.642951
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
RGB color model

Video

Image segmentation

Reflectivity

Motion models

Data modeling

Video surveillance

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