Driver's Face Detection Using Space-time Restrained Adaboost Method

• Tong Liu,
• Jianbin Xie,
• Wei Yan,
• Peiqin Li,

Vol. 6, No. 9, September 25, 2012
10.3837/tiis.2012.09.021, Download Paper (Free):

• Adaboost
• Face Detection
• facial expression recognition
• fatigue detection

Abstract

Face detection is the first step of vision-based driver fatigue detection method. Traditional face detection methods have problems of high false-detection rates and long detection times. A space-time restrained Adaboost method is presented in this paper that resolves these problems. Firstly, the possible position of a driver’s face in a video frame is measured relative to the previous frame. Secondly, a space-time restriction strategy is designed to restrain the detection window and scale of the Adaboost method to reduce time consumption and false-detection of face detection. Finally, a face knowledge restriction strategy is designed to confirm that the faces detected by this Adaboost method. Experiments compare the methods and confirm that a driver’s face can be detected rapidly and precisely.

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