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Eye detection method and system

A technology of human eye detection and human eye, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., and can solve problems such as large amount of calculation

Active Publication Date: 2012-07-25
NETPOSA TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Rosenfeld et al. used Gabor wavelet filter banks to detect human eyes on grayscale images, but in order to obtain multi-directional and multi-scale Gabor filter banks, a large amount of calculation is required
In addition, there are many human eye detection methods such as template matching method, Kalman filter method, infrared external illumination method, etc., but improving the detection accuracy and robustness is still a difficult point in human eye detection research.

Method used

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  • Eye detection method and system
  • Eye detection method and system

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Embodiment Construction

[0073] figure 1 It is a schematic flow chart of the human eye detection method of the present invention, as figure 1 As shown, the human eye detection method specifically includes:

[0074] Step 1: locate the face area, and locate the driver's face area from the input driver monitoring image to obtain an image of the driver's face area;

[0075] Step 2: extract the human eye pair, and extract the human eye area in the human face area according to the detected human face area;

[0076] Step 3: Obtain the human eye features, and extract the human eye features according to the obtained human eye area.

[0077] figure 2 It is a schematic flow chart of locating the face area in the human eye detection method of the present invention, as figure 2 As shown, the specific steps of locating the face area include:

[0078] Preprocessing the image 21, graying the color image and reducing the image resolution.

[0079] Among them, image grayscale processing refers to performing con...

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Abstract

The invention discloses eye detection method and system for detecting driver fatigue. The eye detection method comprises the following steps of: positioning the face region of the driver from an input driver monitoring image to acquire the image of the face region of the driver; extracting the eye pair, and extracting the eye region in the face region according to the positioned image of the faceregion; and acquiring the eye features according to the acquired eye region. The eye detection method of the invention can be used for detecting driver fatigue, and realizes face detection and eye detection of the driver. The invention can effectively prevent the driver from fatigue driving, reduces the possibility of traffic accidents, and has the advantages of simple and quick detection and convenience.

Description

technical field [0001] The invention relates to video monitoring technology, in particular to a human eye detection method and system for driver fatigue detection. Background technique [0002] Driver fatigue and lack of sleep are one of the important causes of serious traffic accidents. Statistics show that traffic accidents caused by fatigue / drowsiness account for about 7% of the total number of traffic accidents, 40% of serious traffic accidents, and 35% of traffic accidents on heavy trucks and highways. Therefore, it is of great significance to effectively monitor and prevent driver fatigue. [0003] Fatigue detection is a process of real-time detection and appropriate warning of driver fatigue during driving. It has the following requirements: 1) It must be non-interfering; 2) It must be real-time; 3) It must be illuminated 4) No harmful radiation, not including mobile devices. [0004] Among the various detection methods that can meet the above requirements and the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/54
Inventor 袁雪庚王华杨学超菅云峰
Owner NETPOSA TECH
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