Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Face database updating method and system and terminal equipment

An update method and database technology, applied in the field of face recognition, can solve the problem that the face recognition database cannot be updated in real time, and achieve the effect of solving the inability to update in real time and facilitating real-time monitoring.

Inactive Publication Date: 2018-06-15
SHENZHEN INFINOVA
View PDF7 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a face database update method, system and terminal equipment to solve the problem that the face recognition database cannot be updated in real time in the prior art

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
  • Face database updating method and system and terminal equipment
  • Face database updating method and system and terminal equipment
  • Face database updating method and system and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Such as figure 1 As shown, the present embodiment provides a method for updating a face database, which specifically includes:

[0041] Step S101: Obtain a face image.

[0042] In a specific application, through the face detection technology, the face images in the surveillance video are detected and captured, and all the face images in the surveillance video are obtained. Specifically, the surveillance video is acquired by a surveillance video capture device.

[0043] In a specific application, when the face image is acquired, the acquisition time and acquisition area corresponding to the face image are recorded.

[0044] Step S102: Analyze the face image, and acquire the confidence level and frequency of appearance of the face image.

[0045] In a specific application, quality detection and analysis are performed on all acquired face images. It should be noted that the confidence is used to measure the quality of the face image, and the higher the confidence value...

Embodiment 2

[0057] Such as figure 2 As shown, in this embodiment, step S102 in Embodiment 1 specifically includes:

[0058] Step S201: Analyze the face image according to the image quality of the face image and the inclination angle of the face to obtain the confidence level of the face image.

[0059] In a specific application, the confidence level of the face image is calculated according to the image quality of the face image and the inclination angle of the face in the face image. When updating the face database, the face image with the highest confidence among all the face images of the same person is updated into the face database. It should also be noted that the quality detection and analysis of the face image may be performed according to an existing face detection and analysis algorithm, which is not limited here. It should also be noted that the calculation of the confidence level of the face image can be analyzed and calculated based on the image quality, can also be analyz...

Embodiment 3

[0063] Such as image 3 As shown, in this embodiment, step S103 in Embodiment 1 specifically includes:

[0064] Step S301: Associating the acquisition time and acquisition area of ​​the face image with the face image.

[0065] In a specific application, the acquisition time and acquisition area of ​​the face image are associated with the face image, specifically, the acquisition time and acquisition area of ​​the face image are used as associated information and stored in the face image simultaneously with the face image. in the database.

[0066] Step S302: Associate and match the associated face image of the face image according to the acquisition time and the acquisition area.

[0067] In a specific application, the face images obtained in the same time period are associated with the face images obtained in the same area to obtain the associated face images of the face images. Exemplarily, in the same area at a certain time, if the face image B is acquired at the same ti...

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 is applicable to the field of face recognition technology and provides a face database updating method and system and terminal equipment. The method comprises the steps that a face imageis acquired; the face image is analyzed, and the confidence and appearance frequency of the face image are acquired; association analysis is performed on the face image, and association information of the face image is acquired; and a face database is updated according to the confidence, the appearance frequency and the association information. By acquiring the face image, updating the face database according to the appearance frequency and the confidence of the face image and meanwhile updating the association information of the face image, the face database is updated effectively in real time, convenience is brought to real-time monitoring on people under control, and the problem that a face recognition database cannot be updated in real time in the prior art is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of face recognition, and in particular relates to a face database updating method, system and terminal equipment. Background technique [0002] Face recognition technology is a biometric recognition technology based on human facial feature information. With the rapid development of artificial intelligence analysis technology, face recognition technology is more used in the security monitoring industry. Face recognition Technology is currently the most widely used technology in the security industry. Through the front-end capture equipment to capture face images and the back-end server equipment to analyze and process face images, it can realize face deployment control, dynamic comparison and early warning, personnel trajectory tracking query and personnel identification and other functions. However, in existing face recognition comparison applications, a large number of face databases need to be provided. ...

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): G06F17/30
CPCG06F16/51G06F16/5866
Inventor 曾祖祥刘军
Owner SHENZHEN INFINOVA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap 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