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.
CN110598535BActive Publication Date: 2021-03-23GUANGXI UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGXI UNIV
Publication Date
2021-03-23

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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.
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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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