Enhanced audio-visual recognition system over internet protocol

Yee Wan Wong, Kah Phooi Seng, Li Minn Ang

    Research output: Book chapter/Published conference paperConference paperpeer-review

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIntelligent Automation and Computer Engineering
    Pages137-149
    Number of pages13
    DOIs
    Publication statusPublished - 01 Dec 2010
    EventInternational Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 - Hong Kong, Hong Kong
    Duration: 18 Mar 200920 Mar 2009

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume52 LNEE
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    ConferenceInternational Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009
    Country/TerritoryHong Kong
    CityHong Kong
    Period18/03/0920/03/09

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