• DocumentCode
    504756
  • 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
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    4998
  • Lastpage
    5001
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5334634