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A Face Recognition Method Based on Center Point Tracking Model

A face recognition and tracking model technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of large server calculations, increase the error rate of recognition, etc., to reduce the probability of tracking errors, reduce the impact, reduce The effect of resource expenditure

Active Publication Date: 2022-04-12
无锡锡商银行股份有限公司
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  • Abstract
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  • Claims
  • Application Information

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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

Method used

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  • A Face Recognition Method Based on Center Point Tracking Model
  • A Face Recognition Method Based on Center Point Tracking Model
  • A Face Recognition Method Based on Center 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 present invention relates to the technical field of machine vision, and specifically discloses a face recognition method based on a central point tracking model, comprising: acquiring multiple frames of target images; performing face tracking on the target images of the preceding and following frames, and determining the corresponding tracking sequence ID ; Face alignment is carried out on the face image of the tracking sequence ID, and the corresponding face features are extracted; after a tracking sequence ID ends, the pre-processing face ID sequence is constructed; the face image in the pre-processing face ID sequence Carry out quality assessment, select the face features in the front Num face images with the best quality as the face ID sequence feature group after cleaning; denoise the face features in the face ID sequence feature group, and pass the face The reordering of features determines the final face recognition result. The present invention can reduce the influence of factors such as illumination, flow of people, face angle and the like on the face recognition effect in a dynamic video environment, and improves the accuracy of face recognition.

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 Patents(China)
IPC IPC(8): G06V40/16G06V10/75G06V10/62
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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