Facial Features Tracking Applied to Drivers Drowsiness Detection
نویسندگان
چکیده
In this paper we describe a real time facial features tracker applied to the detection of some basic drowsiness behaviours in drivers, with a colour camera. It uses stochastic colour segmentation to robustly track a person’s skin and some facial features (eyes and lips).The system recovers 3D face direction, classifies rotation in all viewing directions and detects the driver’s state analysing eye blinking and face direction. We show some experimental results, using real sequences with several users, and some conclusions about the performance of the system.
منابع مشابه
Association of Subjective and Interpretive Drowsiness with Facial Dynamic Changes in Simulator Driving.
BACKGROUND Major injuries and death in accidents have roots in drowsiness. Sleepiness is a main result of insufficient sleep. It is vital to explore drowsiness and its level. There are various sorts of methods in the forms of subjective and objective approaches. The goal of this study was to detect the association of subjective and interpretive drowsiness with facial dynamic changes. METHODS ...
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متن کاملطراحی و ساخت یک سیستم تشخیص خواب آلودگی راننده مبتنی بر پردازشگر سیگنال TMS320C5509A
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