• DocumentCode
    3125949
  • Title

    Eye-tracking for detection of driver fatigue

  • Author

    Eriksson, Martin ; Papanikotopoulos, N.P.

  • Author_Institution
    Dept. of Comput. Sci., Minnesota Univ., Minneapolis, MN, USA
  • fYear
    1997
  • fDate
    9-12 Nov 1997
  • Firstpage
    314
  • Lastpage
    319
  • Abstract
    In this paper, we describe a system that locates and tracks the eyes of a driver. The purpose of such a system is to perform detection of driver fatigue. By mounting a small camera inside the car, we can monitor the face of the driver and look for eye-movements which indicate that the driver is no longer in condition to drive. In such a case, a warning signal should be issued. This paper describes how to find and track the eyes. We also describe a method that can determine if the eyes are open or closed. The primary criterion for the successful implementation of this system is that it must be highly nonintrusive. The system should start when the ignition is turned on without having the driver initiate the system. Nor should the driver be responsible for providing any feedback to the system. The system must also operate regardless of the texture and the color of the face. It must also be able to handle diverse conditions, such as changes in light, shadows, reflections, etc
  • Keywords
    behavioural sciences computing; computer vision; eye; image recognition; road vehicles; traffic engineering computing; camera; driver fatigue detection; eye-movements; eye-tracking; face monitoring; warning signal; Accidents; Artificial intelligence; Eyes; Face detection; Face recognition; Fatigue; Intelligent robots; Laboratories; Real time systems; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    0-7803-4269-0
  • Type

    conf

  • DOI
    10.1109/ITSC.1997.660494
  • Filename
    660494