Title :
Driver dozing detection system using the near-infrared camera images
Author :
Mitsukura, Yasue ; Fukai, Hironobu ; Fukumi, Minoru
Author_Institution :
Tokyo Univ. of Agric. & Technol., Tokyo, Japan
Abstract :
Recently, the research to handle face information with computer is being done. Therefore, how to search the face area automatically is very important. For this problem, there are many problems to get the faces. However these researches are for color image. There are few researches using the near-infrared camera. The purpose of this research is to recognize a face with a near-infrared camera. The face detection that used images from near-infrared camera is comparatively difficult to be done, because they are gray scale images. In this paper, the filter by using GA is designed, and the method of detecting the face and the position from the near-infrared images is proposed. It is demonstrate that our approach is effective for vehicle driver monitoring.
Keywords :
cameras; face recognition; filters; genetic algorithms; image colour analysis; infrared imaging; object detection; GA; color image; driver dozing detection system; face recognition; genetic algorithm; gray scale image; image filter; near-infrared camera image; Agriculture; Cameras; Color; Design methodology; Face detection; Face recognition; Gabor filters; Genetic algorithms; Monitoring; Vehicle driving;
Conference_Titel :
ICCAS-SICE, 2009
Conference_Location :
Fukuoka
Print_ISBN :
978-4-907764-34-0
Electronic_ISBN :
978-4-907764-33-3