Multi-pose Face Detection under Strong Light Condition for Android Driver Fatigue detection System

DOI

10.2991/nceece-15.2016.266How to use a DOI?

Keywords

Android fatigue detection; face detection; AdaBoost

Abstract

Fatigue driving, a hot issue in the field of transportation research, has become a worldwide problem which always leads to traffic accident. Existing detection method always based on costly hardware platform sensors. By developing an android APP using image processing algorithm, we can lower the costs and enable convenient detection. Generally, face detection is a key step in fatigue drive detection. However, correct result can’t be required by Android system detection API, especially in side face detection or strong light condition. A smart-phone based algorithm is presented in this paper to deal with side face situation and detection under strong light. Specially, the algorithm is based on a number of AdaBoost classifier that can distinguish different poses, and it exploits the color skin model with illumination compensation to increase detection quality.

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  - Qing Zhang
AU  - Junjie Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Multi-pose Face Detection under Strong Light Condition for Android Driver Fatigue detection System
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1484
EP  - 1487
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.266
DO  - 10.2991/nceece-15.2016.266
ID  - Sun2015/12
ER  -