DRIVER’S DROWSINESS DETECTION BASED ON VISUAL INFORMATION

Marco Javier Flores, José María Armingol, Arturo de la Escalera

2008

Abstract

In this paper, a new Driver Assistance System (DAS) for automatic driver’s drowsiness detection based on visual information and image processing is presented. This algorithm works on several stages using Viola and Jones (VJ) object detector, expectation maximization algorithm, the Condensation algorithm and support vector machine to compute a drowsiness index. The goal of the system is to help in the reduction of traffic accidents caused by human errors. Examples of different driver’s images taken over a real vehicle are shown to validate the algorithm.

Paper Citation

in Harvard Style

Javier Flores M., María Armingol J. and de la Escalera A. (2008). DRIVER’S DROWSINESS DETECTION BASED ON VISUAL INFORMATION . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-989-8111-31-9, pages 30-35. DOI: 10.5220/0001479400300035

in Bibtex Style

@conference{icinco08,
author={Marco Javier Flores and José María Armingol and Arturo de la Escalera},
title={DRIVER’S DROWSINESS DETECTION BASED ON VISUAL INFORMATION},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2008},
pages={30-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001479400300035},
isbn={978-989-8111-31-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - DRIVER’S DROWSINESS DETECTION BASED ON VISUAL INFORMATION
SN - 978-989-8111-31-9
AU - Javier Flores M.
AU - María Armingol J.
AU - de la Escalera A.
PY - 2008
SP - 30
EP - 35
DO - 10.5220/0001479400300035