Enhanced audio-visual recognition system over internet protocol

Yee Wan Wong, Kah Phooi Seng, Li Minn Ang

Research output: Book chapter/Published conference paperConference paper

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
CountryHong Kong
CityHong Kong
Period18/03/0920/03/09

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Internet protocols
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Neurons
Lighting

Cite this

Wong, Y. W., Seng, K. P., & Ang, L. M. (2010). Enhanced audio-visual recognition system over internet protocol. In Intelligent Automation and Computer Engineering (pp. 137-149). (Lecture Notes in Electrical Engineering; Vol. 52 LNEE). https://doi.org/10.1007/978-90-481-3517-2-11
Wong, Yee Wan ; Seng, Kah Phooi ; Ang, Li Minn. / Enhanced audio-visual recognition system over internet protocol. Intelligent Automation and Computer Engineering. 2010. pp. 137-149 (Lecture Notes in Electrical Engineering).
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title = "Enhanced audio-visual recognition system over internet protocol",
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.",
keywords = "Audio-visual recognition system, Illumination variation, Internet protocol, Multiband feature fusion, Neural network",
author = "Wong, {Yee Wan} and Seng, {Kah Phooi} and Ang, {Li Minn}",
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Wong, YW, Seng, KP & Ang, LM 2010, Enhanced audio-visual recognition system over internet protocol. in Intelligent Automation and Computer Engineering. Lecture Notes in Electrical Engineering, vol. 52 LNEE, pp. 137-149, International 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, 18/03/09. https://doi.org/10.1007/978-90-481-3517-2-11

Enhanced audio-visual recognition system over internet protocol. / Wong, Yee Wan; Seng, Kah Phooi; Ang, Li Minn.

Intelligent Automation and Computer Engineering. 2010. p. 137-149 (Lecture Notes in Electrical Engineering; Vol. 52 LNEE).

Research output: Book chapter/Published conference paperConference paper

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AU - Seng, Kah Phooi

AU - Ang, Li Minn

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N2 - 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.

AB - 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.

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Wong YW, Seng KP, Ang LM. Enhanced audio-visual recognition system over internet protocol. In Intelligent Automation and Computer Engineering. 2010. p. 137-149. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-90-481-3517-2-11