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Face recognition method based on central point tracking model

A face recognition and tracking model technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of increasing the error rate of recognition, large server calculation amount, etc., so as to reduce the impact and reduce the probability of tracking errors. , the effect of reducing resource expenditure

Active Publication Date: 2021-03-23
无锡锡商银行股份有限公司
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Problems solved by technology

On the one hand, this method of frame-by-frame comparison requires a large amount of server calculation; on the other hand, frame-by-frame comparison will undoubtedly increase the error rate of recognition

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  • Face recognition method based on central point tracking model
  • Face recognition method based on central point tracking model
  • Face recognition method based on central point tracking model

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Embodiment Construction

[0030] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation of the face recognition method based on the central point tracking model proposed by the present invention, Structure, characteristic and effect thereof are as follows in detail. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0031] In this embodiment, a face recognition method based on a central point tracking model is provided, such as figure 1 As shown, the face recognition method based on the central point tracking model includes:

[0032] Step S1: Obtain multiple frames of target images in the surveillance video;

[0033] Obtain multi-frame target ima...

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Abstract

The invention relates to the technical field of machine vision, and specifically discloses a face recognition method based on a central point tracking model, and the method comprises the steps: obtaining a plurality of frames of target images; performing face tracking on the target images of the front and back frames, and determining a corresponding tracking sequence ID; performing face alignmenton the face image of the tracking sequence ID, and extracting corresponding face features; after one tracking sequence ID is finished, constructing a pre-processing face ID sequence; performing quality evaluation on the face images in the pre-processed face ID sequence, and selecting face features in the first Num face images with the best quality as a cleaned face ID sequence feature group; and denoising face features in the face ID sequence feature group, and determining a final face recognition result through reordering of the face features. According to the method, the influence of factorssuch as illumination, pedestrian flow shielding and face angles on the face recognition effect in a dynamic video environment can be reduced, and the face recognition precision is improved.

Description

technical field [0001] The invention relates to the technical field of machine vision, and more specifically, to a face recognition method based on a central point tracking model. Background technique [0002] With the popularization of video surveillance systems and the rapid development of computer vision technology, video-based dynamic face recognition technology has made great progress, and has gradually realized industrialization in the fields of intelligent transportation, smart city, information security and security. [0003] The application scenario of the dynamic face recognition method is mostly video to static image recognition. The video to static image recognition often uses frame-by-frame face images as input, and compares them with the static image face database, according to cosine distance, Euclidean Fuse distance or majority vote to fuse the results of all frames for recognition or verification. On the one hand, this frame-by-frame comparison method consu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/168G06F18/22
Inventor 曹攀杨赛顾全林
Owner 无锡锡商银行股份有限公司
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