Driver fatigue detection method based on blink rule recognition

A technology of fatigue detection and regularity, which is applied in the directions of character and pattern recognition, acquisition/recognition of eyes, image data processing, etc., can solve the problems of lower recognition accuracy and affect algorithm recognition accuracy, and achieve recognition accuracy, recognition accuracy guarantee, high The effect of recognition accuracy

Pending Publication Date: 2020-05-22
NO 15 INST OF CHINA ELECTRONICS TECH GRP
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (3) The way of using the feature points extracted from the human face, although the detected eye feature points are hardly affected by factors such as light intensity, scene changes, human eye size, and human eye shape when distinguishing between eye opening and closing. influence, and achieve bett

Method used

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  • Driver fatigue detection method based on blink rule recognition
  • Driver fatigue detection method based on blink rule recognition
  • Driver fatigue detection method based on blink rule recognition

Examples

Experimental program
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Example Embodiment

[0042] Examples:

[0043] First, input the image sequence of the person to be detected, read a frame of image, and use MTCNN face detection to locate the five key points of the face's left eye, right eye, nose, left mouth corner, and right mouth corner.

[0044] Secondly, the image of the eye part is intercepted according to the key point coordinates. Specifically, it is assumed that the coordinates of the left eye are (x1, y1) and the coordinates of the right eye are (x2, y2). The coordinates of the upper left corner of the intercepted left eye part matrix are:

[0045]

[0046] The side length of the square image matrix of the left eye is:

[0047]

[0048] The coordinates of the upper left corner of the intercepted right eye part matrix are:

[0049]

[0050] The side length of the square image matrix of the right eye is:

[0051]

[0052] That is, the square image matrix with the left and right eyes as the center is respectively intercepted, and the side length of the square is hal...

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Abstract

The invention discloses a driver fatigue detection method based on blink rule recognition, and the method comprises the steps: firstly extracting eye images, building a training set, and then traininga model; recognizing the eye images of a driver, and if the continuous multiple frames are recognized as eye closing, displaying that the driver is in a fatigue state. According to the method, multiple algorithms are combined to form a whole, the eyes can be finely positioned, and the eye opening and closing state of an eye part matrix can be judged more accurately; and when the scene changes drastically, the false detection rate of eye opening and closing is low, so that the recognition precision of fatigue detection through blinking rules is relatively high.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a driver fatigue detection method based on the recognition of blinking rules. Background technique [0002] 1) With the improvement of living standards in our country, people's clothing, food, housing and transportation have been greatly improved, and there has been a qualitative leap in transportation. The well-connected roads and convenient transportation have greatly shortened the distance between people, but traffic accidents have also become more frequent. Among them, fatigue driving is gradually becoming one of the main causes of traffic accidents. Fatigue driving refers to the decline in the driver's response ability due to lack of sleep or long-term continuous driving. This decline is manifested in inattention, slow response, and improper operation. and other issues, which directly lead to the occurrence of traffic accidents. If the driver is reminded...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06T5/00G06T5/40
CPCG06T5/002G06T5/40G06V40/165G06V40/19G06V20/597G06N3/045
Inventor 刘源姚文明李杨王吉栋张鹏赵煦
Owner NO 15 INST OF CHINA ELECTRONICS TECH GRP
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