DocumentCode :
2355467
Title :
The classification system with the evolutionary computation
Author :
Tomita, Yohei ; Suzuki, Satoru ; Fukai, Hironobu ; Khosla, Rajiv ; Mitsukura, Yasue
Author_Institution :
Tokyo Univ. of Agric. & Technol., Tokyo, Japan
fYear :
2010
fDate :
21-24 March 2010
Firstpage :
750
Lastpage :
755
Abstract :
The purpose of this paper is to obtain the object. In particular, we focus on the face detection. By using the proposed method, we recognize faces with a near-infrared (NIR) camera. The face detection that used images from the NIR camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using the GA is designed for the purpose of getting the faces. The method of detecting faces and the position from the NIR images is proposed in the on-line image. It is demonstrated that our approach is effective for vehicle driver monitoring. Finally, it was confirmed that the proposed method works well.
Keywords :
cameras; face recognition; genetic algorithms; NIR camera; classification system; evolutionary computation; face detection; genetic algorithm; near-infrared camera; vehicle driver monitoring; Cameras; Data mining; Evolutionary computation; Face detection; Gabor filters; Layout; Lighting; Robustness; Vehicle detection; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Motion Control, 2010 11th IEEE International Workshop on
Conference_Location :
Nagaoka, Niigata
ISSN :
1943-6572
Print_ISBN :
978-1-4244-6668-9
Electronic_ISBN :
1943-6572
Type :
conf
DOI :
10.1109/AMC.2010.5464033
Filename :
5464033
Link To Document :
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