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Authors: Marco Javier Flores ; José María Armingol and Arturo de la Escalera

Affiliation: Intelligent System Laboratory, Universidad Carlos III de Madrid, Spain

Keyword(s): Drowsiness, driver assistance system, object detection, support vector machine, intelligent transportation technology.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Intelligent Transportation Technologies and Systems ; Robotics and Automation

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.

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Paper citation in several formats:
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 3: ICINCO; ISBN 978-989-8111-31-9; ISSN 2184-2809, SciTePress, pages 30-35. DOI: 10.5220/0001479400300035

@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 3: ICINCO},
year={2008},
pages={30-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001479400300035},
isbn={978-989-8111-31-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO
TI - DRIVER’S DROWSINESS DETECTION BASED ON VISUAL INFORMATION
SN - 978-989-8111-31-9
IS - 2184-2809
AU - Javier Flores, M.
AU - María Armingol, J.
AU - de la Escalera, A.
PY - 2008
SP - 30
EP - 35
DO - 10.5220/0001479400300035
PB - SciTePress

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