• DocumentCode
    2534739
  • Title

    Driver eye feature extraction based on infrared illuminator

  • Author

    Di, Wei ; Wang, Rongben ; Ge, Pingshu ; Cao, Fengping

  • Author_Institution
    Transp. & Traffic Coll., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    330
  • Lastpage
    334
  • Abstract
    Driver fatigue and decentralization of spirit at night is a major factor causing the night-time traffic accident. Eye location is 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 eye location based on the region labeling algorithm. The paper also locates driver pupils efficiently and accurately by using the method of Harris corner detection. Experiments have proved good reliability and validity of the algorithms.
  • Keywords
    feature extraction; image segmentation; infrared imaging; matrix algebra; Harris corner detection; Otsu threshold segmentation algorithm; binary image; driver eye feature extraction; eye location; horizontal projection; image processing technique; infrared illuminator; region labeling algorithm; vertical projection; Eyes; Face detection; Fatigue; Feature extraction; Image segmentation; Infrared imaging; Infrared sensors; Optical sensors; Road accidents; Testing; Eye Feature; Infrared Illuminator; Machine Vision; Night-time Driving fatigue;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164299
  • Filename
    5164299