摘要
通过分析眼睛状态可以有效地判定出飞行员的疲劳状态。本文提出一种眼睛状态识别的新方法,该方法利用径向对称和圆形霍夫变换相结合识别眼睛状态。根据在睁眼状态下眼睛虹膜呈现径向对称特性,初步判定眼睛状态。对于不能仅用径向对称变换确定眼睛状态的图像,结合径向对称变换定位虹膜中心和圆形霍夫变换定位虹膜中心和半径的方法对眼睛状态进一步识别。将该方法应用于疲劳飞行视频处理,实验结果表明,此方法对睁眼和闭眼识别的平均准确率为94.9%,能满足飞行员疲劳监控的应用要求。
To confirm the pilot fatigue, most of methods are carried out through the analysis of eye states. A new algorithm of eye states recognition was proposed based on combining of radial symmetry transform and circular Hough transform. Firstly, the eye states were recognized based on radial symmetry characteristic of iris when eyes were open, and then for the images which were not recognized only by radial symmetry transform, the center and radius of iris were determined by circular Hough transform. Comparing the position of iris center located by circular Hough transform and the iris center located by radial symmetry transform eye states recognition in these images could be achieved. This method has been applied to pilot fatigue flight video processing and experimental results show that the proposed algorithm achieved a relatively better eye state recognition result. Average success rate of the proposed method is 94.9%, which meets the needs of application requirements of pilot fatigue monitoring.
出处
《光电工程》
CAS
CSCD
北大核心
2011年第5期133-138,共6页
Opto-Electronic Engineering
基金
中国民航总局科学研究项目"基于计算机视觉的飞行员疲劳监控系统研究"(MHR06Z16)
关键词
眼睛状态
径向对称变换
圆形霍夫变换
疲劳监控
eye states
radial symmetry transform
circular Hough transform
fatigue monitoring
