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http://dx.doi.org/10.5391/JKIIS.2010.20.6.780

Genetic Programming based Illumination Robust and Non-parametric Multi-colors Detection Model  

Kim, Young-Kyun (서경대학교 전자공학과)
Kwon, Oh-Sung (서경대학교 전자공학과)
Cho, Young-Wan (서경대학교 컴퓨터공학과)
Seo, Ki-Sung (서경대학교 전자공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.6, 2010 , pp. 780-785 More about this Journal
Abstract
This paper introduces GP(Genetic Programming) based color detection model for an object detection and tracking. Existing color detection methods have used linear/nonlinear transformatin of RGB color-model and improved color model for illumination variation by optimization or learning techniques. However, most of cases have difficulties to classify various of colors because of interference of among color channels and are not robust for illumination variation. To solve these problems, we propose illumination robust and non-parametric multi-colors detection model using evolution of GP. The proposed method is compared to the existing color-models for various colors and images with different lighting conditions.
Keywords
Color Detection; Color Model; Illumination invariant; GP(Genetic Programming); Histogram Backprojection;
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