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
Link To Document :
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