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Detecting system and detecting method for fatigue driving of driver

A driver fatigue and detection method technology, applied in the field of image processing and pattern recognition, can solve problems such as misidentification, achieve high recognition accuracy, reduce traffic accidents, and ensure the safety of life and property

Inactive Publication Date: 2013-11-20
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, this method has relatively high requirements for external light. In actual operation, it is easily interfered by external light changes and cause misidentification.

Method used

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  • Detecting system and detecting method for fatigue driving of driver
  • Detecting system and detecting method for fatigue driving of driver
  • Detecting system and detecting method for fatigue driving of driver

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Embodiment Construction

[0037] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0038] The technical solution adopted in the present invention is realized by Hough transform, detection of human head and shoulders, and tracking method based on Kalman filter. It includes the following specific steps:

[0039] S1. Face detection: use the Adaboost algorithm to detect the presence of the driver's face;

[0040] S11. Select samples: for the existing N training samples, marked as (x 1 ,y 1 ),(x 2 ,y 2 ),…,(x N ,y N ), y i ={-1,+1}, ie y i =-1 indicates a negative sample, which is a non-face, otherwise, y i =+1 indicates that the sample is a positive sample and is a face;

[0041] S12, initialize the weight of the sample. For face samples (y i =+1), its weight ω 1,i =1 / 2m, for non-face samples (y i =-1), its weight is ω 1,i =1 / 2l, i=1,2,...,N. m and l are the number of face samples and non-face samples in the sample ...

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Abstract

The invention discloses a detecting system and a detecting method for fatigue driving of a driver, and belongs to the technical fields of image processing and pattern recognition. The system comprises a human face localization module, a human eye state judging module, a mouth state judging module and a fatigue determining module, wherein the human face localization module is connected with the human eye state judging module and the mouth state judging module for communication; the determining result is sent to the fatigue determining module. The detecting method comprises the following steps: 1, localizing and detecting the human face; 2, judging the human eye state; 3, judging the mouth state of the driver; 4, judging the mental state of the driver. The detecting system and the detecting method combine two obvious facial characteristics of the driver, namely the human eyes and the human mouth, for complex judging; compared with recognition detection using a single method, the method provided by the invention has a higher recognition accuracy; through determining the mental state of the driver, the driver under fatigue state is reminded to stop the vehicle for rest, so that traffic accidents are effectively reduced, and the safety of life and property is strongly guaranteed.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a driver fatigue driving detection system and a detection method. Background technique [0002] In recent decades, the rapid development of my country's economy has driven the continuous improvement of people's material living standards, and some luxury goods in the past have gradually appeared in every family, and cars are one of them. Through research on the automobile market, it is found that in 2013, Chinese society has entered the "automobile society". In the past five years, there have been more than 20 million people who have passed the test to obtain a motor vehicle driver's license every year, and the average number of motor vehicles has increased by more than 16 million every year. As of October 2012, the number of people who have obtained motor vehicle driving licenses in my country is as high as 256 million, with an average of one in ...

Claims

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Application Information

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IPC IPC(8): G08B21/06
Inventor 程建苏靖峰马莹姜涛李鸿升
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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