Fatigue driving detection method based on eye and mouth state

A technology for fatigue driving and detection methods, applied in computer parts, character and pattern recognition, instruments, etc., can solve problems such as high requirements for eye detection, unsatisfactory results of fatigue judgment, and single judgment elements, so as to ensure the safety of life and property, Ideal results, high accuracy and reliability

Active Publication Date: 2017-12-19
JILIN UNIV
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AI Technical Summary

Problems solved by technology

This method has high requirements for eye detection. Since the proportion of eyes on a human face is relatively small, the size of human eyes is also different, and the judgment element is single, which will cause unsatisfactory fatigue judgment results.

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  • Fatigue driving detection method based on eye and mouth state
  • Fatigue driving detection method based on eye and mouth state
  • Fatigue driving detection method based on eye and mouth state

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Embodiment Construction

[0030] The purpose, specific technical methods and effects of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. The present invention uses eye and mouth features to detect whether the driver is tired, such as figure 1 As shown, the method includes the following steps:

[0031] 1. Collect the driver's video stream and convert the video stream into a frame image.

[0032] 2. Pre-processing the image with light compensation: The light will change with the driving environment and time, which has a great impact on the extraction of skin color features. Therefore, light compensation is performed first to better extract the face area. What is used is a "reference white" algorithm. First, the brightness of the pixels in the image is detected to obtain the pixels whose brightness values ​​are in the top 5%, and the average gray value of the pixels whose brightness v...

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Abstract

The fatigue driving detection method based on the state of the eyes and the mouth belongs to the technical field of image processing and pattern recognition. The present invention includes the following steps: driver video image acquisition, illumination compensation preprocessing, face area detection, comprehensive fatigue judgment, and fatigue alarm ; Wherein the face area detection includes eye detection and mouth detection; eye detection includes using the projection method to obtain the eye area, for eye feature analysis, compared with standard features, k value calculation and eye fatigue judgment; The detection of the mouth includes using the mouth-map method to obtain the mouth region, analyzing the characteristics of the mouth, comparing with the standard features, calculating the p value and judging yawning; the present invention combines the two characteristic parameters of the eyes and the mouth to judge, and compares with the standard features. Compared with single parameter, the accuracy and reliability of fatigue judgment are higher. The implementation of the present invention can greatly reduce traffic accidents caused by driver fatigue driving, and provide a new preventive method to ensure the safety of driver's life and property. measure.

Description

technical field [0001] The invention belongs to the technical field of image processing and pattern recognition, and in particular relates to a fatigue detection method based on the state of the driver's eyes and mouth. Background technique [0002] With the rapid development of the economy, the number of cars is increasing. While automobiles bring fast and convenient transportation to human beings, they also bury hidden dangers for traffic safety. Driver's fatigue driving is an important factor that causes traffic accidents. According to statistics, 20% of traffic accidents are caused by fatigue driving, so it is particularly important to provide real-time and accurate fatigue warnings to drivers. [0003] After decades of research by experts and scholars, there are currently two types of detection methods for driver fatigue: contact and non-contact: [0004] 1. Contact type, based on the detection of the driver's physiological characteristics, this method needs to add so...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/162G06V40/171G06V20/597
Inventor 王世刚赵晓琳赵文婷鲁奉军卢洋
Owner JILIN UNIV
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