Eyes location by regional features and knowledge matching for driver fatigue detection

2009 Chinese Control and Decision Conference Pub Date : 2009-06-17 DOI:10.1109/CCDC.2009.5192095

Wang Xianmei, Chi Jiannan, Wang Zhiliang

引用次数: 0

Abstract

This paper presents a novel method for driver's eyes location by combining the regional features and knowledge matching technology. First, the eyes candidates are obtained by the driver's skin color. Then the geometry, gray and location features are used to get the rough location. Finally, the prior knowledge of face structure is employed to decide the precise location. The experimental results show that the new method is efficient and robust to images in different rotation angles. It can work effectively with no limits to the open eyes, two eyebrows or two eyes. The mismatching of the eyebrow and eye on the different side can also be decrease.

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基于区域特征和知识匹配的眼睛定位方法进行驾驶员疲劳检测

将区域特征与知识匹配技术相结合，提出了一种新的驾驶员眼睛定位方法。首先，根据驾驶员的肤色获得候选眼睛。然后利用几何特征、灰度特征和位置特征得到粗定位;最后，利用人脸结构的先验知识进行精确定位。实验结果表明，该方法对不同旋转角度的图像具有较好的鲁棒性。它可以有效地工作，不受睁着眼睛，两条眉毛或两只眼睛的限制。也可以减少两侧眉眼的不匹配。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2009 Chinese Control and Decision Conference

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