摘要
针对疲劳驾驶监测的要求,设计了一种基于TI公司高速图像处理芯片TMS320DM642的疲劳驾驶预警系统,用以判定驾驶员的疲劳程度,降低交通事故.系统采用机器视觉的方法,先通过CCD摄像头拍下驾驶员的面部图像序列,然后检测出脸部,从而定位眼睛,再利用PERCLOS算法判定疲劳状态.实验结果表明,该系统准确率高、速度快,可以满足非接触式、全天候、实时监测的要求.
Aiming at the demands of fatigue driving monitoring,a drowsiness detection system based on High-speed DSP TMS320DM642 from TI Inc was designed.It can determine the driver’s level of attention,and reduce the number of traffic accident.This system uses the machine vision method to get video sequences of a driver from the CCD camera,and than detects the face,eyelid to determine the state of drowsiness by the PERCLOS criterion.The experimental results show that this system has higher accuracy and speed,and can satisfy the demands of non-contact,all illumination condition and real-time monitoring.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2011年第5期139-143,共5页
Journal of Harbin Institute of Technology
基金
广东省自然科学基金资助项目(9451064101003049)
