The Improved Gaussian Mixture Model for Real-Time Detection System of Moving Object
2016
Detection of moving objects is a kind of segmentation techniques based on regional characteristic such as color, gray, texture, which is the key technology in analyzing and processing of video image. A real-time motion detection method based on improved Gaussian Mixture Model is presented in this paper which is optimized and structure adjusted from Gaussian Mixture Model. Gaussian Mixture Model has been widely used in complex background scene modeling, especially in some occasions with small repetitive motion, such as shaking of the leaves, a rotating fan, bushes, the sea waves, rain, snow, etc.
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