Posture recognition using radial basis function neural network
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 pos...
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my.uniten.dspace-211032023-05-04T20:56:44Z Posture recognition using radial basis function neural network Mohd Asraf bin Ariffin 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. 2023-05-03T15:58:03Z 2023-05-03T15:58:03Z 2009 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/21103 en application/pdf |
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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. |
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Mohd Asraf bin Ariffin |
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Mohd Asraf bin Ariffin Posture recognition using radial basis function neural network |
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Mohd Asraf bin Ariffin |
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Mohd Asraf bin Ariffin |
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Posture recognition using radial basis function neural network |
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Posture recognition using radial basis function neural network |
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Posture recognition using radial basis function neural network |
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Posture recognition using radial basis function neural network |
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Posture recognition using radial basis function neural network |
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posture recognition using radial basis function neural network |
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2023 |
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1806426205580165120 |
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