吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (2): 232-236.

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Driver mouth monitoring method based on machine vision

SHI Shu-ming, JIN Li-sheng, WANG Rong-ben, TONG Bing-liang   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2003-12-13 Online:2004-04-01

Abstract: When we use the machine vision to monitor the driving behavior of a driver,identifying the mouth state is one of the key technologies. In fact, when a driver drives in a normal, talking or dozing state, his/her mouth opening degree is quite different. Based on this fact,the driver mouth contour and locality were extracted by a Fischer classifier to form a mouth region geometric feature group as eigenvalues.The eigenvalues made up an eigenvector as the input of a three-level BP neural network which might give the output in one of three above-mentioned spirit states.The experiment results show that this new method can monitor the driver mouth region accurately and quickly.

Key words: driving behavior monitor, machine vision, Fisher classifier, features extraction, BP neural network

CLC Number: 

  • U461.91
[1] YANG J,LU W,WAIBE A. Shin-color modeling and adaptation[R].Pittsburgh:CMU-CS,1997.
[2] GONG Y,SAKAUCHI M. Detection of regions matching specified chromatic features[J].Computer Vision and Image Understanding,1995,61(2):263-269.
[3] TURK M A,PENTLAND A.Face recognition using eigenfaces[Z].Proc IEEE Conf on Computer Vision and Pattern Recoginition,USA,1991.
[4] WANG Rongben.A monitoring method of driver fatigue behavior based on machine vision[Z].Proceedings of the IEEE Intelligent Vehicles Symposium'03,Columbus, Ohio, 2003.
[5] KAUCIC R,BLAKE A. Accurate, real-time, unadorned lip tracking[Z].Proc 6th Int Conf Computer Vision, India,1998.
[6] DUCHNOWSKI P,HUNKE M,BUSHING D,MEIER U,WAIBEL A. Toward movement invariant automatic lip-reading and speech recognition[Z].Proc Int Conf on Acoust Speech, Signal Processing,USA,1995.
[7] FUKUDA Toshio,SHIBATA Takanori. Theory and applications of neural networks for industrial control sytems[J].IEEE Transctions on Industrial Electronics,1992,39(6):472-489.
[8] 徐大威,李伟,何永保.多层BP网络的研究及应用[J].信息与控制,1995,24(增刊):588-596.
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