Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Detection method of human eye state

A detection method and state technology, applied in the field of human eye state detection, can solve the problem of low accuracy of human eye state detection, achieve the effect of improving efficiency and accuracy, and improving computing efficiency

Inactive Publication Date: 2015-03-25
SPREADTRUM COMM (TIANJIN) INC
View PDF4 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The problem that the present invention solves is the problem that the detection accuracy of human eye state is not high

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
  • Detection method of human eye state
  • Detection method of human eye state
  • Detection method of human eye state

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0073] image 3 is a schematic flow chart of the method for creating an eye template provided by this embodiment, such as image 3 As shown, when creating the eye template, step S301 is first performed to extract the face image of the current frame.

[0074] The face image of the current frame is acquired by using the face detection method in the prior art.

[0075] Step S302, determining the eye region of the face image of the current frame through simple region division.

[0076] In this embodiment, the face image of the current frame is described as a square image, and the simple area division can be assuming that the side length of the face area is 1 (the unit is the length unit), please refer to Figure 4 ,Such as Figure 4As shown, assume that the coordinate origin (0,0) is the upper left corner of the face area, starting from the origin, the horizontal direction to the right is the X direction, and starting from the origin, the vertical downward direction is the Y di...

Embodiment 2

[0121] This embodiment is a specific embodiment based on the technical solution of the detection method of the human eye state. In this embodiment, by judging whether the left eye and the right eye are blinking respectively, it is detected whether the eye state is in the eye-open state or blinking. state.

[0122] Such as Figure 7 As shown, step S701 is firstly executed to create a left-eye template and a right-eye template respectively.

[0123] The method for creating an eye template provided by the present invention can be used to create a left-eye template and a right-eye template respectively, which will not be repeated here.

[0124] Step S702 is executed to determine whether the face detection is successful.

[0125] After creating the eye template, when starting to detect the eye state, you need to perform face detection first to obtain the eye area to be detected. In this step, if it is judged that the face detection fails, create an eye-opening template according ...

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

Disclosed is a detection method of a human eye state. The method comprises the following steps: extracting an eye area in a face image; through a rapid radial symmetry transformation algorithm, obtaining a radial symmetry transformation result of each pixel point in the eye area; determining that the positions of pixel points which have the maximum radial symmetry transformation results are pupil positions; selecting an area comprising the pupil positions as an eye template in the face image where the pupil positions are disposed; searching for an area to be detected, and determining that an area matching the eye template is an eye area to be detected; if the correlation coefficient of the eye template and the eye area to be detected is smaller than a matching threshold, determining that eyes in the eye area to be detected are at a blink state; and if the correlation coefficient of the eye template and the eye area to be detected is greater than the matching threshold, determining that the eyes in the eye area to be detected are at an eye-opening state. The technical scheme provided by the invention effectively improves the eye state detection accuracy, and has better robustness for glasses, head shaking, illumination condition transformation and the like.

Description

technical field [0001] The invention relates to the technical field of human eye detection, in particular to a method for detecting the state of human eyes. Background technique [0002] The eye is the most important feature of the human face, and it plays an extremely important role in the research and application of computer vision. The detection of the state of the eye has always been a direction that has attracted extensive attention of researchers. On the basis of face recognition, eye state detection helps various smart devices to identify the state of human eyes, and has broad application prospects in the fields of fatigue detection and visual interaction. For example, the physical reaction of the driver's eyes is detected through image processing, and the driver's fatigue detection can be effectively realized through the detection and tracking of the eyes. With appropriate warnings, the incidence of accidents is reduced. For another example, when shooting with digi...

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): G06K9/00G06K9/46
CPCG06V40/18
Inventor 潘跃常广鸣
Owner SPREADTRUM COMM (TIANJIN) INC
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com