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Enhanced Audio-Visual Recognition System over Internet Protocol

机译:基于Internet协议的增强型视听识别系统

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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,我们扩展了Wong [1]中的研究工作,并增强了基于Internet协议的视听识别系统。提出了一种多波段特征融合方法来解决照明问题。然后提出了一种新的正交最小二乘算法的径向基函数神经网络,以提高传统正交最小二乘算法对径向基函数神经网络的推广。结果表明,与采用传统正交最小二乘算法的神经网络相比,所提出的神经网络具有较少的神经元数量,具有较高的识别精度。通过这种神经网络,与Wong [1]中的视听识别系统相比,提高了视听识别系统的识别精度。然后开发了基于互联网协议的视听识别系统,其中实现了多频带特征融合和所提出的神经网络。

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