Driver's eye detection and state analysis in fatigue driving

DOI

10.2991/nceece-15.2016.267How to use a DOI?

Keywords

Image preprocessing; Face region segmentation; Eye detection; Ellipse fitting

Abstract

As one of the most important features of human face, the eye location plays a fundamental role in many application fields. For example, by judging the eyes state, defining whether the driver is in the state of fatigue. At present, most of the eye detection algorithms in fatigue driving are based on laboratory simulation environment. Therefore, this paper is based on the real car environment, collecting the pictures from the driver simulating the driving condition. Then, using the method of region segmentation and ellipse fitting to locate and analyze the state of eyes. All experiment pictures are collected by Android phone front camera. The algorithm runs fast and is suitable for real-time processing. At the same time, there is a good performance of eye location in the situation where there exists a certain facial orientation angle.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guangmin Sun
AU  - Linan Jia
AU  - Kun Zheng
PY  - 2015/12
DA  - 2015/12
TI  - Driver's eye detection and state analysis in fatigue driving
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1488
EP  - 1493
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.267
DO  - 10.2991/nceece-15.2016.267
ID  - Sun2015/12
ER  -