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 JCC  Vol.2 No.2 , January 2014
An Experimental System Development for Head Posture Estimation Based on 3-D Images Measurement
Abstract: Although automobile is an indispensable vehicle to modern life, it also serves as a social problem with a big traffic accident. Among the reasons of traffic accidents, careless driving accounts for the largest part. So in order to avoid the careless driving, a system which can measure the posture of a driver and warns driver to drive carefully in the case of looking aside is necessary. Although the image measurement method is used broadly, there is a problem on which measurement accuracy is influenced by environment light, makeup of the driver, etc. in the general method based on the two-dimensional image. Therefore, in this study, we propose an image measurement method to obtain the head posture of driver. First we use three-dimensional measurement method which based on the infrared pattern projection to get 3-D information of head, and then we calculate the angle for faces. In this paper, we explain the composition method of an experiment system, and the results of head posture measurement experiment.
Cite this paper: Xu, C. and Lu, C. (2014) An Experimental System Development for Head Posture Estimation Based on 3-D Images Measurement. Journal of Computer and Communications, 2, 57-63. doi: 10.4236/jcc.2014.22011.
References

[1]   Occurrence of traffic accidents during the year Heisei 24, Police Department, 2013. http://www.keishicho.metro.tokyo.jp/anzen/sub5

[2]   M. Yuji, U. Li, “A Study on Delay Prediction of Driver’s Reaction Time by Using the Eye-Opening Rate Measurement,” Society of Automotive Engineers Proceedings, Vol. 41-46, 2010, pp. 1445-1450.

[3]   J. Kasugai, J. Lin, T. Naito, K. Ogawa, S. Ishiguro Hiroshi, et al., “New Technology Face Orientation Detection System,” Aisin Technical Report, Vol. 11, 2007, pp. 15- 19.

[4]   S. Iguchi and S. Kosuke, “Three-Dimensional Image Measurement,” Shokodo, 1990.

[5]   G. K. Cho and C. W. Lu, “3-D Measurement System Practical Fully Automatic Based on the Pattern Projected Self-Regulation,” Institute of Electrical Engineers Journal C, Vol. 127, No. 4, 2007, pp. 561-567.

[6]   K. M. Wang, S. D. Zhu and C. Zhang, “Comparative Study about the Method of Automatically Select the Threshold,” Journal Fushun Petroleum Institute, Vol. 22, No. 2, 2002, pp. 69-73.

 
 
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