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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.
Keywords
driver natural impairment, driver inattention, driver distraction, driver drowsiness, Driving surveillance, driver fatigue

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Chicago
Jimenez Moreno, Robinson, Sergio Alejandro Orjuela Vargas, Peter Van Hese, Flavio Prieto, Victor Grisales, and Wilfried Philips. 2012. “Video Surveillance for Monitoring Driver’s Fatigue and Distraction.” In Proceedings of Spie, the International Society for Optical Engineering, ed. P Schelkens, T Ebrahimi, G Cristobal, F Truchetet, and P Saarikko. Vol. 8436. Brussels, Belgium: SPIE.
APA
Jimenez Moreno, R., Orjuela Vargas, S. A., Van Hese, P., Prieto, F., Grisales, V., & Philips, W. (2012). Video surveillance for monitoring driver’s fatigue and distraction. In P Schelkens, T. Ebrahimi, G. Cristobal, F. Truchetet, & P. Saarikko (Eds.), PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING (Vol. 8436). Presented at the Conference on Optics, Photonics and Digital Technologies for Multimedia Applications II, Brussels, Belgium: SPIE.
Vancouver
1.
Jimenez Moreno R, Orjuela Vargas SA, Van Hese P, Prieto F, Grisales V, Philips W. Video surveillance for monitoring driver’s fatigue and distraction. In: Schelkens P, Ebrahimi T, Cristobal G, Truchetet F, Saarikko P, editors. PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. Brussels, Belgium: SPIE; 2012.
MLA
Jimenez Moreno, Robinson, Sergio Alejandro Orjuela Vargas, Peter Van Hese, et al. “Video Surveillance for Monitoring Driver’s Fatigue and Distraction.” Proceedings of Spie, the International Society for Optical Engineering. Ed. P Schelkens et al. Vol. 8436. Brussels, Belgium: SPIE, 2012. Print.
@inproceedings{2072075,
  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.},
  articleno    = {84360T},
  author       = {Jimenez Moreno, Robinson and Orjuela Vargas, Sergio Alejandro and Van Hese, Peter and Prieto, Flavio and Grisales, Victor  and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING},
  editor       = {Schelkens, P and Ebrahimi, T and Cristobal, G and Truchetet, F and Saarikko, P},
  isbn         = {9780819491282},
  issn         = {0277-786X},
  keyword      = {driver natural impairment,driver inattention,driver distraction,driver drowsiness,Driving surveillance,driver fatigue},
  language     = {eng},
  location     = {Brussels, Belgium},
  pages        = {8},
  publisher    = {SPIE},
  title        = {Video surveillance for monitoring driver's fatigue and distraction},
  url          = {http://dx.doi.org/10.1117/12.922085},
  volume       = {8436},
  year         = {2012},
}

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