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Fatigue driving detection method based on eye and mouth states

A fatigue driving and detection method technology, applied in computer parts, character and pattern recognition, instruments, etc., can solve the problems of high eye detection requirements, single judgment elements, unsatisfactory judgment results of fatigue, etc., to ensure the safety of life and property, High accuracy and reliability, ideal effect

Active Publication Date: 2015-07-29
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.

Method used

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

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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 invention belongs to the technical field of image processing and mode recognizing and relates to a fatigue driving detection method based on eye and mouth states. The method includes the steps of diver's video image acquisition, light compensation preprocessing, facial area detection, comprehensive fatigue judgment and fatigue alerting. The step of facial area detection includes eye detection and mouth detection; eye detection includes acquiring an eye area by means of a projection method, analyzing eye features, comparing the eye features to standard features, and performing k-means computation and eye fatigue judgment; mouth detection includes acquiring a mouth area by the mouth-map method, analyzing mouth features, comparing the mouth features to standard features, performing p-means computation and yawn judgement. According to the method, the eye feature parameter and the mouth feature parameter are combined for judgment; compared with the use of the single parameter, the method has higher rate and reliability of fatigue judgment; by the use of the method, traffic accidents caused by driver's fatigue driving can be greatly decreased; a new preventive measure is provided for ensuring life and property safety of drivers.

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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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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