Iris recognition-based driver eye movement capture method

A technology of motion capture and iris recognition, which is applied in the field of visual inspection, can solve problems such as invisible effects of eye images, blurred and dim imaging, and failure of eye movements, so as to overcome imaging differences, improve adaptability, and achieve all-weather effects

Inactive Publication Date: 2018-06-29
GUANGDONG POLYTECHNIC NORMAL UNIV
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, especially to solve the problem of random illumination in the actual driving process, driver's body movements, blurred and dim imaging under night working conditions, and dark glasses working conditions in the existing facial video fatigue detection method. Eye image has invisible effects, causing eye movement to fail

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Iris recognition-based driver eye movement capture method
  • Iris recognition-based driver eye movement capture method
  • Iris recognition-based driver eye movement capture method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0016] refer to figure 1 , a kind of driver fatigue detection method based on machine vision of the embodiment of the present invention, described method comprises:

[0017] S1 facial image acquisition. A CCD camera is used to collect the facial image of the driver, and the camera is installed near the dashboard of the vehicle. According to different vehicles, the focal lengths of the cameras are 8mm (passenger car) and 12mm (commercial vehicle). In this embodiment, a camera with a focal length of 8mm is used to collect face images.

[0018] refer to figure 2 , in order to overcome the problem of low light and side light under night working conditions, and avoid int...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an iris recognition-based driver eye movement capture method. The method includes the following steps of: S1, facial image acquisition; S2, face region determination; S3 eye region localization; S4, iris region localization; and S5, eye movement capture. According to the method of the invention, an eye region guiding feature point localization algorithm is adopted to realize the localization of eye region feature points; in an eye region image where eye locations are determined, the physiological structural features of irises are adopted to locate the center locations of the irises; and therefore, the imaging difference of the eye image under different illumination conditions can be avoided, the adaptability of a detection system to illumination can be improved, andaround-the-clock and robust driver eye movement capture can be realized.

Description

technical field [0001] The invention belongs to the field of vision detection and relates to a driver's eye motion capture based on iris recognition. Background technique [0002] Fatigue driving refers to that due to the monotony of the driving environment or long-term, super-intensive driving, the driver’s physical and psychological functions decline due to excessive energy consumption, resulting in a decline in response level and control efficiency, which in turn leads to a reduction in driving skills and affects Phenomenon of normal driving. When the driver is fatigued, his ability to perceive the traffic environment, his ability to judge danger, and his ability to control the vehicle all decline to varying degrees, which can easily lead to traffic accidents. [0003] The mainstream detection method for fatigue driving is to evaluate the driver's mental state with the driver's participation. The most commonly used method is the fatigue detection method based on facial v...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/166G06V40/171G06V40/18G06V20/597
Inventor 梁鹏郝刚林智勇
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap