@article{ref1,
title="On driver eye closure recognition for commercial vehicles",
journal="SAE international journal of commercial vehicles",
year="2008",
author="Hammoud, Riad I. and Witt, Gerald and Dufour, Robert and Wilhelm, Andrew and Newman, Timothy",
volume="1",
number="1",
pages="454-463",
abstract="This paper addresses the issue of driving while drowsy and proposes a passive eye monitoring-based driver eye closure recognition system. It reviews the core algorithmic building blocks of this system along with in-depth analysis of operational test field characteristics. The system operates equally in both day and night-time. It automatically finds the drivers eyes in the images, tracks the eye location in a wide range of head and eye motion, and estimates in real-time the eye state as either open or closed eye, and further infers to driver drowsiness state. This paper reports as well the experimental results on a diverse and challenging set of subjects and environmental driving conditions.<p /> <p>Language: en</p>",
language="en",
issn="1946-3928",
doi="10.4271/2008-01-2691",
url="http://dx.doi.org/10.4271/2008-01-2691"
}