Color moving object segmentation based on Mixture Gaussian Models

Abstract

The segmentation of color images sequence is an important research field of image processing and pattern recognition. In view of the current complex environment, the detection result of moving objects using traditional methods is not satisfying, a background of diminishing method based on the improved Mixture Gaussian Model is proposed. We establish Mixture Gaussian Models for each channel in (R, G, B) color space and utilize difference between current flame and background flame to separate foreground object and background, and use Morphological opening and closing operating to restraint interference. The experimental results indicate that the moving object can be extracted effectively.