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A challenge of research in area of the driver drowsiness detection is to detect the drowsiness in low light condition. In this paper, we proposed a method to detect driver's eyes closure and yawning for drowsiness analysis by infrared camera. This method consists of four steps, namely, face detection, eye detection, mouth detection, and eyes closure and yawning detection. 3,760 images were used to test the performance of the proposed method. The accuracy rate of eyes closure detection, and yawning detection were 98%, and 92.5%, respectively. The experimental resulted show that the proposed method performed effectively. The advantage of this work is that this method can detect eye closure and yawning in low light condition.
Tipprasert et al. (Tue,) studied this question.