Face recognition method based on short video training method

A technology of face recognition and short video, which is applied in the field of face recognition based on short video training method, can solve problems such as low accuracy, lower verification efficiency, and affect recognition results, so as to improve accuracy, improve recognition, The effect of increasing the degree of distinction

Active Publication Date: 2018-03-13
一石数字技术成都有限公司
View PDF12 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The object of the invention of the present invention is: in view of the above-mentioned existing problems, provide a kind of face recognition method and system based on the short video training method, solve the following problems: 1. Solve the problem of low accuracy based on single template matching recognition; 2. Solve the problem of huge demand for face image sources in building a face model based on the training method; 3. No need to con

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 recognition method based on short video training method
  • Face recognition method based on short video training method
  • Face recognition method based on short video training method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0112] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0113] Any feature disclosed in this specification (including any appended claims, abstract), unless otherwise stated, may be replaced by alternative features that are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0114] like figure 1 As shown, the present embodiment discloses a face recognition method based on a short video training method, comprising the following steps:

[0115] S001: Construct a reference face feature matrix for the face to be searched;

[0116] S100: Obtain a short video containing a target face;

[0117] S200: Identify and track the target face in the short video, and extract several target face pictures; the quality of the extracted target face pict...

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 a face recognition method based on a short video training method. The method comprises the steps of obtaining a short video containing a target human face; identifying and tracking the target human face in the short video, extracting a plurality of target face pictures; extracting feature values for a plurality of extracted target human face images respectively, generatingtarget human face characteristic values corresponding to the target face images respectively; combining a plurality of sets of target human face characteristic values corresponding to the plurality oftarget face pictures, generating a target face characteristic matrix, comparing the target face feature matrix with a preset reference face feature matrix, and verifying the target face. By means ofthe image characteristic value extracting mode, a human face model does not need to be constructed, and accurate recognition of the human face is achieved. Rapid face matching is achieved through an algorithm of rough positioning and fine positioning, and a high-precision recognition algorithm and high anti-counterfeiting performance are achieved.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a face recognition method based on a short video training method. Background technique [0002] The problem of identification is not only a difficult problem that people often encounter in daily life, but also is particularly important in various aspects such as national defense, scientific research, security, intelligent production and so on. As one of the most important branches of identity recognition, face recognition technology has always been a research hotspot in the industry because of its significance in maintaining national security and the safety of people's lives and property, as well as in counter-terrorism and anti-terrorism; With the rapid development of computer technology, the discipline of digital image technology and pattern recognition, the increasing improvement of artificial intelligence technology, the application range of face recognition technology is stil...

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
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168G06V40/172
Inventor 卢荣新王泽民李珉施国鹏
Owner 一石数字技术成都有限公司
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