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/).
Cite this article
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 -