• DocumentCode
    2871437
  • Title

    Driver Eyes Identification Based on Infrared Illuminator

  • Author

    Di, Wei ; Wang, Rongben

  • Author_Institution
    Transp. & Traffic Coll., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Driver fatigue and decentralization of spirit at night is a major factor causing the night-time traffic accident. Eyes locations are the precondition to monitor driver´s fatigue state with image processing technique. Based on Otsu threshold segmentation algorithm, with the help of horizontal projection and vertical projection in binary image, the paper locates the driver face region accurately, and establishes eyes location based on the region labeling algorithm. The paper using Laplace edge detection gets eyes contours points, and then fits these points by ellipse fitting. Experiments have proved good reliability and validity of the algorithms.
  • Keywords
    driver information systems; image segmentation; infrared imaging; Laplace edge detection; Otsu threshold segmentation algorithm; binary image; driver eyes identification; driver face region; driver fatigue state; ellipse fitting; eyes contour points; eyes location; image processing; infrared illuminator; night-time traffic accident; region labeling algorithm; Educational institutions; Eyes; Face detection; Face recognition; Fatigue; Flowcharts; Image edge detection; Image segmentation; Labeling; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366673
  • Filename
    5366673