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Algorithm of Driver Fatigue Detection Based on Vision

Author: YuanYing
Tutor: YuanZuoZuo
School: Shenyang University of Technology
Course: Applied Computer Technology
Keywords: Driver fatigue Face Detection Eye detection Eye state detection PERCLOS calculated
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 166
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Abstract


Increasing traffic accidents caused by driver fatigue driving , how to avoid driver fatigue driving has been widespread concern for people . As a car , the real-time , non -contact fatigue evaluation method , the accuracy of the method and the potential of PERCLOS been all recognition. Several key points in the process of fatigue detection , and driver fatigue judge eventually use PERCLOS method . When the driver is driver fatigue status alerts in a timely manner , to avoid traffic accidents . Software implementation includes the following sections: face detection, eye detection , the distance between the iris region eyelid calculation , PERCLOS computing . This article deals with the image of 24 -bit color chart , all aspects briefly as follows . 1 ) Face Detection : Skin color segmentation methods face candidate region , using the projection method to determine the face boundary and split face ; 2 ) eye detection : morphological erosion of face candidate region processing , geometric distribution based on the human face organs characteristics of coarse positioning the eyes . Coarse positioning convert a color image to grayscale image edge detection , edge detection combined projection method to detect the precise location of the eyes . Design eye location method has certain anti- face deflection characteristics ; 3 ) eye state detection : grayscale characteristics of the iris in the eye , the design template rough location of the iris region . Edge detection, then the iris area design algorithm to determine the left and right borders of the iris and seeking its height , determined according to the the boundary height size iris around the eyes open and close ( eye opening degree is too small to directly judged eyes closed) . Eyes open image the iris region eyelid relative height value . The resulting the eyes open degrees in a period of time the curve ; 4) PERCLOS calculated : the use of statistical methods to determine the different people PERCLOS formula required two parameters : the eye is normal open degree of value and unit of time t . PERCLOS method for fatigue evaluation of the personnel participating in the experiment . The experimental results show that the algorithm is able to accurately locate the driver's eyes . And accurate detection of the its eye opening degree . End PERCLOS method made ??a correct evaluation of driver fatigue state unit time .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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