In order to build a robust model that used to detect and recognize an object in any scene, good segmentation technique should be adopted, in this work we have studied and analyzed two recent segmentation techniques using varies metric parameters to highlights the concealed performance of each of them as well as discover the detailed operation of these techniques, we have presented in this paper the techniques that used Gaussian Mixture Model (GMM) as a basic tools to spot the foreground object based on natural skin color with two different applications for that tool.
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Gaussian Mixture Model, Segmentation, Object Detection, Skin Color Extraction, pattern recognition.