Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 210-213.doi: 10.11896/j.issn.1002-137X.2016.6A.050

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Detection of Driver’s Head-dipping Based on Computer Vision

YANG Xiao-feng, DENG Hong-xia and LI Hai-fang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to monitor and alert the distraction by using a mobile phone during driving,the method based on the facial feature extraction to detect the driver’s head behavior was proposed.This method uses ASM (Active Shape Mo-del) to obtain the facial feature points,calculates the head posture description on the position information of the face feature points,and draws the head posture classified by SVM from the above information finally.Experimental results show that the method can effectively detect the driver’s head-dipping during driving,and the average detection rate is above 94%.

Key words: ASM,Facial feature,Driving,Phone,Distraction

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