Real-time system for monitoring driver vigilance

This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visua...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2006-03, Vol.7 (1), p.63-77
Main Authors: Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R., Lopez, M.E.
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer programs
Computer science
control theory
systems
Computerized monitoring
Control theory. Systems
Device driver programs
Driver vigilance
Exact sciences and technology
eyelid movement
face position
Fatigue
Frequency
Fuzzy
fuzzy classifier
Ground, air and sea transportation, marine construction
Monitoring
Pattern recognition. Digital image processing. Computational geometry
percent eye closure (PERCLOS)
Pulse measurements
Real time
Real time systems
Road accidents
Robotics
Statistics
Studies
US Department of Transportation
Vehicle crash testing
Vehicle driving
Vigilance
Vision systems
Visual
visual fatigue behaviors
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Summary:This paper presents a nonintrusive prototype computer vision system for monitoring a driver's vigilance in real time. It is based on a hardware system for the real-time acquisition of a driver's images using an active IR illuminator and the software implementation for monitoring some visual behaviors that characterize a driver's level of vigilance. Six parameters are calculated: Percent eye closure (PERCLOS), eye closure duration, blink frequency, nodding frequency, face position, and fixed gaze. These parameters are combined using a fuzzy classifier to infer the level of inattentiveness of the driver. The use of multiple visual parameters and the fusion of these parameters yield a more robust and accurate inattention characterization than by using a single parameter. The system has been tested with different sequences recorded in night and day driving conditions in a motorway and with different users. Some experimental results and conclusions about the performance of the system are presented
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2006.869598