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Proceedings Paper

Video surveillance for monitoring driver's fatigue and distraction
Author(s): R. Jiménez-Moreno; S. A. Orjuela; P. Van Hese; F. A. Prieto; V. H. Grisales; W. Philips
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Paper Abstract

Fatigue and distraction effects in drivers represent a great risk for road safety. For both types of driver behavior problems, image analysis of eyes, mouth and head movements gives valuable information. We present in this paper a system for monitoring fatigue and distraction in drivers by evaluating their performance using image processing. We extract visual features related to nod, yawn, eye closure and opening, and mouth movements to detect fatigue as well as to identify diversion of attention from the road. We achieve an average of 98.3% and 98.8% in terms of sensitivity and specificity for detection of driver's fatigue, and 97.3% and 99.2% for detection of driver's distraction when evaluating four video sequences with different drivers.

Paper Details

Date Published: 4 May 2012
PDF: 8 pages
Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360T (4 May 2012); doi: 10.1117/12.922085
Show Author Affiliations
R. Jiménez-Moreno, Univ. Militar Nueva Granada (Colombia)
Univ. Antonio Nariño (Colombia)
S. A. Orjuela, Univ. Antonio Nariño (Colombia)
Ghent Univ. (Belgium)
P. Van Hese, Ghent Univ. (Belgium)
F. A. Prieto, Univ. Nacional (Colombia)
V. H. Grisales, Univ. Nacional (Colombia)
W. Philips, Ghent Univ. (Belgium)


Published in SPIE Proceedings Vol. 8436:
Optics, Photonics, and Digital Technologies for Multimedia Applications II
Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko, Editor(s)

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