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Enhanced Audio-Visual Recognition System over Internet Protocol

机译:通过Internet协议增强视听识别系统

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In this chapter, we extend the research work in Wong [1] and enhance the audio-visual recognition system over internet protocol. The multiband feature fusion method is presented to solve the illumination problem. Then a radial basis function neural network with a new orthogonal least square algorithm is proposed to improve the generalization of the radial basis function neural network with conventional orthogonal least square algorithm. Result shows that the proposed neural network achieves higher recognition accuracy with lesser number of neurons as compared to the neural network with conventional orthogonal least square algorithm. With this neural network, the recognition accuracy of the audio-visual recognition system is improved as compared to the audio-visual recognition system in Wong [1]. Then the audio-visual recognition system over internet protocol is developed where the multiband feature fusion and the proposed neural network are implemented.
机译:在本章中,我们在Wong [1]中扩展了研究工作,并通过互联网协议增强了视听识别系统。提出了多频带特征融合方法来解决照明问题。然后,提出了具有新的正交最小二乘算法的径向基函数神经网络,以通过传统的正交最小二乘算法来改善径向基函数神经网络的概括。结果表明,与具有传统正交最小二乘算法的神经网络相比,所提出的神经网络以较少数量的神经元实现更高的识别准确性。利用这种神经网络,与Wong中的视听识别系统相比,可以提高视听识别系统的识别准确性。然后,开发了通过Internet协议的视听识别系统,其中实现多频带特征融合和所提出的神经网络。

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