Gaussian mixture model for human skin color and its applications in image and video databases
نویسندگان
چکیده
This paper is concerned with estimating a probability density function of human skin color using a nite Gaussian mixture model whose parameters are estimated through the EM algorithm Hawkins statistical test on the normality and homoscedasticity common covariance matrix of the estimated Gaussian mixture models is performed and McLachlan s bootstrap method is used to test the number of components in a mixture Experimental results show that the estimated Gaussian mixture model ts skin images from a large database Applications of the estimated density function in image and video databases are presented
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