• 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