Machine vision-based driver fatigue detection method

A driver fatigue detection method technology, which is applied in the field of driver fatigue detection based on machine vision, can solve problems such as detection failure, blurred imaging, invisible effects of eye images, etc., to improve adaptability, overcome imaging differences, overcome The effect of body movements

Inactive Publication Date: 2018-06-29
GUANGDONG POLYTECHNIC NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the deficiencies in the prior art, especially to solve the problem that in the existing facial video fatigue detection method, the contact measurement method is affected by the random illum

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  • Machine vision-based driver fatigue detection method
  • Machine vision-based driver fatigue detection method
  • Machine vision-based driver fatigue detection method

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Embodiment Construction

[0020] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0021] refer to figure 1 , a kind of driver fatigue detection method based on machine vision of the embodiment of the present invention, described method comprises:

[0022] S1 facial image acquisition. A CCD camera is used to collect the facial image of the driver, and the camera is installed near the dashboard of the vehicle. According to different vehicles, the focal lengths of the cameras are 8mm (passenger car) and 12mm (commercial vehicle). In this embodiment, a camera with a focal length of 8mm is used to collect face images.

[0023] refer to figure 2 , in order to overcome the problem of low light and side light under night working conditions, and avoid int...

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Abstract

The invention discloses a machine vision-based driver fatigue detection method. The method includes the following steps of: S1, facial image acquisition; S2, eye region localization; S3, eye movementextraction; and S4, fatigue state detection. According to the method of the invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided, the adaptability of a detection system to illumination can be improved, and the influence of a driver's limbmovement and a nighttime sunglasses working condition on fatigue state detection can be avoided.

Description

technical field [0001] The invention belongs to the field of visual detection and relates to a driver fatigue detection method based on machine vision. Background technique [0002] Fatigue driving refers to that due to the monotony of the driving environment or long-term, super-intensive driving, the driver’s physical and psychological functions decline due to excessive energy consumption, resulting in a decline in response level and control efficiency, which in turn leads to a reduction in driving skills and affects Phenomenon of normal driving. When the driver is fatigued, his ability to perceive the traffic environment, his ability to judge danger, and his ability to control the vehicle all decline to varying degrees, which can easily lead to traffic accidents. [0003] The mainstream detection method for fatigue driving is to evaluate the driver's mental state under the condition of driver's participation, which can be divided into subjective self-assessment method and...

Claims

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Application Information

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IPC IPC(8): G08B21/06A61B5/18
CPCG08B21/06A61B5/18
Inventor 梁鹏郝刚林智勇
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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