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Many classifiers have been employed to classify human posture classification; however, most of them only presents the average accuracy of the classification. Furthermore, the details of the measured parameters especially for SVM classifier are not measured. Therefore, the objective of this work is to analyse and classify human body posture using Support Vector Machine (SVM) techniques based on various...
We propose an appearance based eigenfeature regularization methodology for recognizing human activities. This regularization utilizes a 3-parameter based eigenmodel derived from the variances of within-class (activity) scatter matrix. Original eigenvalues are replaced by the model eigenvalues which facilitates in regularizing eigenfeatures corresponding to very small and zero eigenvalues and perform...
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