Publication: Posture recognition using radial basis function neural network
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Date
2009
Authors
Mohd Asraf bin Ariffin
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Abstract
Human posture recognition has received significant attention from the communities of computer vision, neural network and signal processing. The system architecture consist two levels of segmentation process for interested element localization, features extraction of the posture image and a human posture classification system based on the Radial Basis Functions Neural Network.