Driver Fatigue Early Warning System Based On OpenCV
ABSTRACT
Now, with our continuous improvement of living standards of people, cars have entered the household, become an important daily travel transport, traffic accidents also increase. Important cause frequent traffic accidents due to driver fatigue driving.Therefore, for fatigue driving has been a significant scientific value and design significance.
Design of system is the use of open source video OpenCV image processing library, the use of video cameras capture images of the input image preprocessing (image graying, median filter, etc.)； constructed by learning the training class based on Haar features cascade classifier, using features of class-based Haar classifier cascade of images directly from the input locate the eye； to the human eye out of part of the image capture, binary eye images； and then calculate the binary image in the vertical directionThe width of the size of the pupil, in order to determine the state of eyes；Finally, many of the capture, calculation of the frequency of close to draw the eye fatigue state.
Key words：Fatigue driving OpenCV Haar classifier cascade class Image Processing Eye location
