Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach

Aleksandar Čolić, Oge Marques, Borko Furht

2014

Abstract

This paper describes the steps involved in designing and implementing a driver drowsiness detection system based on visual input (driver’s face and head). It combines off-the-shelf software components for face detection, human skin color detection, and eye state (open vs. closed) classification in a novel way. Preliminary results show that the system is reliable and tolerant to many real-world constraints.

References

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Paper Citation


in Harvard Style

Čolić A., Marques O. and Furht B. (2014). Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach . In Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014) ISBN 978-989-758-046-8, pages 241-247. DOI: 10.5220/0005012302410247


in Bibtex Style

@conference{sigmap14,
author={Aleksandar Čolić and Oge Marques and Borko Furht},
title={Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach},
booktitle={Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)},
year={2014},
pages={241-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005012302410247},
isbn={978-989-758-046-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2014)
TI - Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach
SN - 978-989-758-046-8
AU - Čolić A.
AU - Marques O.
AU - Furht B.
PY - 2014
SP - 241
EP - 247
DO - 10.5220/0005012302410247