3 May 2012 Video surveillance for monitoring driver's fatigue and distraction
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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.
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R. Jiménez-Moreno, R. Jiménez-Moreno, S. A. Orjuela, S. A. Orjuela, P. Van Hese, P. Van Hese, F. A. Prieto, F. A. Prieto, V. H. Grisales, V. H. Grisales, W. Philips, W. Philips, } "Video surveillance for monitoring driver's fatigue and distraction", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360T (3 May 2012); doi: 10.1117/12.922085; https://doi.org/10.1117/12.922085
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