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Multi-index fusion-based driver fatigue detection method

A driver fatigue and driver technology, applied in the field of computer vision, can solve problems such as reduced accuracy, and achieve the effect of overcoming the effect of being easily disturbed

Inactive Publication Date: 2018-11-23
CHANGAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the head position is dependent on the offset of the eyes in the vertical direction, the accuracy of the method decreases when the driver rotates the head horizontally at a large angle

Method used

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  • Multi-index fusion-based driver fatigue detection method

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Embodiment Construction

[0065] The invention discloses a multi-indicator fusion driver fatigue detection method, such as Figure 8 shown, including the following steps:

[0066] Step 1, collect the face image of the driver in a normal state, select the first facial feature point, and determine the driver's eye fatigue judgment threshold through the first facial feature point;

[0067] The facial image of the driver in a normal state is acquired by an on-board video device, or an image acquisition tool such as a camera. The normal state refers to that the driver remains awake, and there is no continuous eye closure, reduced blink rate, or yawning. , nodding and other physiological characteristics. In this step, for the collected facial images, firstly, the face positioning method is used to obtain the driver's face and head area, and then feature points are obtained in the face and head area. The steps of the described face positioning method are as follows:

[0068] Step 1.1, at first the pixel of...

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Abstract

The invention discloses a multi-index fusion-based driver fatigue detection method. The method comprises the steps of firstly, acquiring a face image of a driver in a normal state to carry out human face positioning, selecting a first face feature point, and determining a driver eye fatigue judgment threshold value through the first face feature point; acquiring a face image of the driver in a driving state, carrying out human face positioning, selecting a second face feature point, and calculating an eye fatigue index, a mouth fatigue index and a head posture fatigue index of the driver; andin combination with the eye fatigue index, the mouth fatigue index and the head posture fatigue index, judging whether the driver is in fatigue driving or not. According to the method, various physiological characteristics of a person in a fatigue state are comprehensively considered, and the fatigue state of the driver is detected in a multi-index fusion mode, so that the fatigue state of the driver can be detected more accurately, and the problems of easy disturbance and low identification accuracy of a traditional single-index detection method are effectively solved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method for detecting driver fatigue state through multi-indicator fusion. Background technique [0002] The popularity of automobiles has facilitated people's travel, but it has also led to more and more traffic accidents. The 2017 Road Traffic Safety Development Report [1] jointly issued by the State Administration of Work Safety and the Ministry of Transport pointed out that the number of traffic accidents each year accounted for 70% of the total number of serious accidents in the country, and the number of deaths accounted for 70%. up to 80%. According to statistics, 20% to 30% of these traffic accidents are caused by fatigue driving, especially on expressways, the proportion of traffic accidents caused by fatigue driving reaches more than 30%. Therefore, it is of great significance to study a method for real-time monitoring of the driver's driving status, and to give certai...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/171G06V40/193G06V20/597
Inventor 徐琨柳有权文芳荆树旭
Owner CHANGAN UNIV
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