摘要
为了能够有效地、实时地对驾驶员进行疲劳检测,构建了以ICETEK-DM6437-B模块为核心、以近红外发光二极管为光源和以电荷耦合器摄像头为图像采集设备的驾驶员疲劳检测系统。提出了以人脸区域定位为检测主体的、在PER-CLOS方法原理基础上改进的PER-NOFACE方法结合多种简单高效的图像处理算法的疲劳检测方案,可有效地检测出驾驶员的疲劳状态。为了保证系统检测的实时性,在DM6437达芬奇处理器上对疲劳检测算法进行了代码优化。实验结果表明,该系统能够较为准确地、实时地对驾驶员进行疲劳状态检测。
To detect driver fatigue states effectively and in real time,a driver fatigue detection system is built,which take ICETEK-DM6347 module as system core,near-infrared LED as light source,and CCD camera as picture gathering device.An improved PER-NORFACE detection method combined several simple and efficient image processing algorithms is proposed,which is based on principle of PERCLOS method and take the human face location as the main detection target.To ensure the ability of real-time processing,the algorithms on the DM6437 DaVinci processor are optimized.Experiments show that the system could complete the driver fatigue states detection accurately and in real time.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第2期519-522,550,共5页
Computer Engineering and Design
作者简介
宋立新（1963-），男，黑龙江哈尔滨人，博士，教授，人，硕士研究生，研究方向为DSP软件开发、图像处理。E-mail：研究方向为模式识别、图像处理；
于伏亮（1986-），男，黑龙江哈尔滨yfl-86397109@126．com
