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Driver fatigue: a vision-based approach to automatic diagnosis
Authors:Martin Eriksson  Nikolaos P. Papanikolopoulos  
Affiliation:Artificial Intelligence, Robotics and Vision Laboratory, Department of Computer Science, University of Minnesota, Minneapolis, MN 55455, USA
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 this system is that it must be highly non-intrusive. The system must also operate regardless of the texture and the color of the face. It must also be able to handle changing conditions such as changes in light, shadows, reflections, etc. Initial experimental results are very promising even when the driver moves his/her head in a way such that the camera does not have a frontal view of the driver’s face.
Keywords:Driver fatigue   Visual tracking   Blink rate   Microsleeps   Detection of fatigue
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