A real-time eye-state classifier for driver drowsiness based on dynamic template matching, Kalman tracking, and HOG+SVM, presented without quantitative evaluation.
Journal of Information Processing System 9(1), 141--156 (2013)
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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.