Presentation 2004/7/1
High Speed Lips Region Extraction by Template Matching with Genetic Algorithms in Real Environments
Takuya AKASHI, Minoru FUKUMI, Norio AKAMATSU,
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Abstract(in English) In this paper, a lips extraction method by genetic algorithms (GAs), which has simple, high speed properties is described. This method is a visual front end of audio-visual speech recognition systems for mobile devices. Our method is based on template matching with GA. Generally, GA consume use a significant amount of computation time, because the calculation and test of fitness values for generation x population is necessary. Furthermore GA is basically a global optimization algorithm. So, premature convergence in GA often causes it to fail to reach the global optimum. To extract lips region at high speed, the population must be small and a local search must be more efficient. In order to overcome these problems, we propose a method to control search domain flexibly. We compare this method with the previous method by small population. The experimental results show the proposed method is effective compared to traditional methods.
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Keyword(in English) Template Matching / Genetic Algorithms / Lips Image
Paper # HIP2004-20
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Committee HIP
Conference Date 2004/7/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) High Speed Lips Region Extraction by Template Matching with Genetic Algorithms in Real Environments
Sub Title (in English)
Keyword(1) Template Matching
Keyword(2) Genetic Algorithms
Keyword(3) Lips Image
1st Author's Name Takuya AKASHI
1st Author's Affiliation Graduate School of Engineering, The University of Tokushima()
2nd Author's Name Minoru FUKUMI
2nd Author's Affiliation Faculty and School of Engineering, The University of Tokushima
3rd Author's Name Norio AKAMATSU
3rd Author's Affiliation Faculty and School of Engineering, The University of Tokushima
Date 2004/7/1
Paper # HIP2004-20
Volume (vol) vol.104
Number (no) 168
Page pp.pp.-
#Pages 6
Date of Issue