Book chapter
Enhanced audio-visual recognition system over internet protocol
Intelligent Automation and Computer Engineering, pp.137-149
Lecture Notes in Electrical Engineering (LNEE), 52, Springer Netherlands
2010
Abstract
In this chapter, we extend the research work in Wong 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. Then the audio-visual recognition system over internet protocol is developed where the multiband feature fusion and the proposed neural network are implemented.
Details
- Title
- Enhanced audio-visual recognition system over internet protocol
- Authors
- Yee Wan Wong (Author) - University of Nottingham Malaysia CampusKah Phooi Seng (Author) - University of Nottingham Malaysia CampusLi-Minn Ang (Author) - University of Nottingham Malaysia Campus
- Contributors
- Xu Huang (Editor) - University of CanberraSio-Iong Ao (Editor) - International Association of EngineersOscar Castillo (Editor) - Instituto Tecnológico de Tijuana
- Publication details
- Intelligent Automation and Computer Engineering, pp.137-149
- Series
- Lecture Notes in Electrical Engineering (LNEE); 52
- Publisher
- Springer Netherlands
- Date published
- 2010
- DOI
- 10.1007/978-90-481-3517-2_11; 10.1007/978-90-481-3517-2
- ISSN
- 1876-1100; 1876-1119
- ISBN
- 9789048135172
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
- Language
- English
- Record Identifier
- 99513891102621
- Output Type
- Book chapter
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