Eye State Detection Based on Embedded Linux System

Article Preview

Abstract:

Eye state detection is dramatically influenced by the position of iris, for this reason, this paper proposed an eye state detection method combined the area between the eyelid with the eyelid contour. By modifying and transplanting V4L-utils and OpenCV image processing library, video capture and display software is built on the Cortex-A8 embedded system. Through experimental verification, the embedded system can realize the acquisition, processing and display of the video stream and the eye state detection algorithm also has high accuracy.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1253-1256

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Dehnavi Mohammad, Attarzadeh Nona, Eshghi M. Real time eye state recognition[C]. Electrical Engineering (ICEE), 2011 19th Iranian Conference on . (2011)1-4.

Google Scholar

[2] Lee B G, Jung S J, Chung W Y. Real-time physiological and vision monitoring of vehicle driver for non-intrusive drowsiness detection[J]. IET Communications. 17(2011)2461-2469.

DOI: 10.1049/iet-com.2010.0925

Google Scholar

[3] CAO Ju ying, ZHAO Yue long. Eye State Recognition Based on Horizontal Projection and Hough Found the Circle[J]. Science Technology and Engineering . 6 (2007)1270-1272.

Google Scholar

[4] Viola P, Jones M. Robust real-time face detection[J]. International Journal of Computer Vision. 2(2004)137-154.

DOI: 10.1023/b:visi.0000013087.49260.fb

Google Scholar

[5] Rein-Lien Hsu, Abdel-Mottaleb M, Jain A K. Face detection in color images[C]. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 5 (2002)696-706.

DOI: 10.1109/34.1000242

Google Scholar

[6] Gary Bradski, Adrian Kaehler. Learning OpenCV, first ed., O'Reilly Media, Sebastopol, (2008).

Google Scholar