A real-time eye-state classifier for driver drowsiness based on dynamic template matching, Kalman tracking, and HOG+SVM, presented without quantitative evaluation.
Available online: http://www.fraunhofer.de/en/press/research-news/2010/10/eye-tracker-driver- drowsiness.html (last accessed on 17 Sept 2015)
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Real-Time Sleepiness Detection for Driver State Monitoring System
A real-time eye-state classifier for driver drowsiness based on dynamic template matching, Kalman tracking, and HOG+SVM, presented without quantitative evaluation.