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This paper come out with an infant behavior recognition scheme based on neural network. In this study, the infant face region is segmented based on the Haar Cascade Method. Two types of features, namely Mean, Variance, Skewness and Kurtosis are then calculated based on the information available from the infant face regions. Since each type of features in turn contains several different values, given...
This paper come out with an infant behaviour recognition scheme based on neural network. In this study, the infant face region is segmented based on the Haar Cascade Method. Two types of features, namely Singular Value Decomposition (SVD) and Power Spectrum are then calculated based on the information available from the infant face regions. Since each type of features in turn contains several different...
This paper come out with an infant behavior recognition scheme based on neural network. In this study, the infant face region is segmented based on the Principle Component Analysis. Two four of features, namely Mean, Variance, Skewness and Kurtosis are then calculated based on the information available from the infant face regions. Since each type of features in turn contains several different values,...
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