Vision-based drowsiness detector for real driving conditions
- 1 June 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 19310587,p. 618-623
- https://doi.org/10.1109/ivs.2012.6232222
Abstract
This paper presents a non-intrusive approach for drowsiness detection, based on computer vision. It is installed in a car and it is able to work under real operation conditions. An IR camera is placed in front of the driver, in the dashboard, in order to detect his face and obtain drowsiness clues from their eyes closure. It works in a robust and automatic way, without prior calibration. The presented system is composed of 3 stages. The first one is preprocessing, which includes face and eye detection and normalization. The second stage performs pupil position detection and characterization, combining it with an adaptive lighting filtering to make the system capable of dealing with outdoor illumination conditions. The final stage computes PERCLOS from eyes closure information. In order to evaluate this system, an outdoor database was generated, consisting of several experiments carried out during more than 25 driving hours. A study about the performance of this proposal, showing results from this testbench, is presented.Keywords
This publication has 13 references indexed in Scilit:
- Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologiesTransportation Research Part F: Traffic Psychology and Behaviour, 2009
- A theory on visually induced motion sicknessDisplays, 2008
- A visual approach for driver inattention detectionPattern Recognition, 2007
- Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidentsClinical Neurophysiology, 2007
- Real-Time System for Monitoring Driver VigilanceIEEE Transactions on Intelligent Transportation Systems, 2006
- Driver Identification Using Driving Behavior SignalsIEICE Transactions on Information and Systems, 2006
- Robust Real-Time Face DetectionInternational Journal of Computer Vision, 2004
- Driver sleepiness and risk of serious injury to car occupants: population based case control studyBMJ, 2002
- Night Driving, Season, and the Risk of Highway AccidentsSleep, 2001
- Vehicle accidents related to sleep: a review.Occupational and Environmental Medicine, 1999