Dynamic face recognition method and device based on video streaming

A face recognition and video stream technology, applied in the field of face recognition, can solve the problems of low error recognition rate, high sample utilization rate, and low recognition accuracy, achieve high recognition accuracy, reduce the difficulty of sorting, and improve face recognition accuracy Effect

Pending Publication Date: 2020-10-30
SHENZHEN MAXVISION TECH
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a dynamic face recognition method based on video streams for the problems of low recognition accuracy and many misrecognitions of existing face recognition methods, which has higher recognition accuracy and lower false recognition rate, and higher sample utilization

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  • Dynamic face recognition method and device based on video streaming
  • Dynamic face recognition method and device based on video streaming
  • Dynamic face recognition method and device based on video streaming

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Embodiment Construction

[0038] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0039] The terms "first", "second", "third" and the like in the description and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclus...

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Abstract

The invention discloses a dynamic face recognition method and device based on a video stream.performing sample collection on a training video stream to obtain a face image training sample; sending theface image training samples into a neural network for training, training each face image training sample to obtain a multi-dimensional feature vector, normalizing the multi-dimensional feature vectors, and aggregating K multi-dimensional feature vectors belonging to the same person into one feature vector; and carrying out face recognition on an unknown video stream by utilizing the feature vectors obtained by aggregation. The method is higher in recognition precision, lower in false recognition rate and higher in sample utilization rate, and can improve the false face attack problem.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a method and device for dynamic face recognition based on video streams. Background technique [0002] Face recognition is not only a research hotspot in the field of artificial intelligence, but also has important practical significance in the field of public security. Face recognition technology based on a single frame image usually includes face image sample collection, sample image preprocessing, classifier training and sample recognition and other technical links. Face image sample collection is the cornerstone of face recognition, and its significance is self-evident. The collection of face recognition samples used to be based on images. For example, different people used mobile phones and ordinary cameras to take selfies from different angles under different postures, lighting, expressions, etc., and finally cleaned and sorted the face sample pictures. Sample im...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/172G06V20/41G06N3/045G06F18/23G06F18/22G06F18/24G06F18/253Y02D10/00
Inventor 聂芸芸夏炉系郭沛张浒许金金王东苗应亮
Owner SHENZHEN MAXVISION TECH
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