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A Face Recognition Analysis Method Used in Surveillance Video Data

A surveillance video and face recognition technology, applied in the field of face recognition analysis, can solve the problems of misjudgment and omission of surveillance video data.

Active Publication Date: 2021-03-23
GUANGXI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problem that the existing face recognition method is prone to misjudgment and missed judgment in monitoring video data, and provides a face recognition analysis method used in monitoring video data to deal with the problems of face recognition in monitoring video data. In bad situations, improve the accuracy of face recognition in surveillance video data

Method used

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  • A Face Recognition Analysis Method Used in Surveillance Video Data
  • A Face Recognition Analysis Method Used in Surveillance Video Data
  • A Face Recognition Analysis Method Used in Surveillance Video Data

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.

[0050] A face recognition analysis method used in surveillance video data, such as figure 1 As shown, it has the following steps:

[0051] (1) Preparation stage:

[0052] step S 1: Data set preparation:

[0053] get public CASIA - Webface face dataset, MS - Celeb -1 M face dataset, VGGFace 2 face data sets, and a set of face photos of students and teachers collected in Guangxi University. in, CASIA - Webface The face database contains 494,414 face pictures of 10,575 individuals, with an average of 46.8 training data per person; MS - Celeb -1 M The face database contains about 100,000,000 different face pictures of 100,000 celebrities, with an average of 100 training data for each celebrity; VGGFace 2 The face data set contains 3,310,000 pictures o...

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Abstract

The invention discloses a face recognition and analysis method used in monitoring video data, which uses two neural networks to compare and score the high-latitude face features of the face, and integrates the K-adjacent algorithm and the screening mechanism with the Euclidean distance as the threshold to achieve Face comparison and recognition, so as to obtain accurate face recognition results; in addition, the present invention also performs further screening according to the time of video data and the frequency of appearance of faces, finally obtains the recognition results, and then obtains more accurate face recognition result. The invention can perform relatively accurate face recognition on video data or picture data captured by real-time or historical monitoring cameras.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a face recognition analysis method used in monitoring video data. Background technique [0002] With the popularization of big data, artificial intelligence related technologies are developing rapidly, and are gradually becoming popular in people's daily life. Computer vision in the four major fields of artificial intelligence has been affirmed by people in recent years, and face recognition technology in computer vision has always been the focus of attention, and its accuracy rate even surpassed the recognition accuracy rate of human eyes in some cases . Compared with other human biological characteristics, it has the advantages of non-contact, non-compulsory, strong concealment, convenient acquisition, and more intuitive results, and can achieve the purpose of identification without interfering with the monitored person. [0003] Computer vision face recognition techn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/161G06V40/168G06V40/172G06V20/41G06V40/166G06V20/46G06V10/761G06V10/763G06F18/23213G06F18/22
Inventor 范祚军高健姜文君梁广林
Owner GUANGXI UNIV
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