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Method and device for establishing feature library based on gait recognition and face recognition

A gait feature and face feature technology, applied in the computer field, can solve the problems of collecting and recognizing face image result errors, tracking wrong target persons, affecting the efficiency and accuracy of security inspections, etc.

Active Publication Date: 2019-08-27
银河水滴科技(宁波)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the process of security inspection or tracking of the target person, after collecting and identifying the face image in the biometric feature, it is compared with the face image database to determine whether the inspection is passed or to determine the course of action of the target person, but because the face is easy to Camouflage, and the quality of the face image taken during face recognition needs to meet the requirements, resulting in errors in the results of the collection and recognition of face images, affecting the efficiency and accuracy of security inspections, thus misleading the tracking of target personnel

Method used

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  • Method and device for establishing feature library based on gait recognition and face recognition
  • Method and device for establishing feature library based on gait recognition and face recognition

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Embodiment 1

[0060] see figure 1 As shown, it is a schematic flow chart of the method for establishing a feature library based on gait recognition and face recognition provided by the embodiment of the present application. The method includes the following steps:

[0061] Step 101 , acquire a surveillance video, and filter out a surveillance image of each pedestrian feature from the surveillance video.

[0062] Optionally, a camera is installed to shoot video in a preset scene, or a video shot by a camera can be acquired in an existing scene where a camera has been installed, so as to filter surveillance images of pedestrian characteristics in the surveillance video. When there are two people appearing in one monitoring image at the same time in the monitoring image, the monitoring image of the image characteristics of each pedestrian is obtained through the image segmentation method, and the specific method of image segmentation is not limited here.

[0063] Step 102, process the monitor...

Embodiment 2

[0086] see image 3 As shown, it is a schematic structural diagram of a device for establishing a feature library based on gait recognition and face recognition provided by the embodiment of the present application; the device includes: an acquisition module 301, a processing module 302, and a creation module 303, specifically:

[0087] An acquisition module 301, configured to acquire a surveillance video, and filter out a surveillance image of each pedestrian feature from the surveillance video;

[0088] The processing module 302 is configured to perform the following operations on the monitoring image of each pedestrian feature:

[0089] Extracting the face features of the pedestrian according to the surveillance image of the pedestrian feature, and determining the appearance time of the surveillance image of the pedestrian feature in the surveillance video according to the surveillance video;

[0090] Determining a gait feature video that includes the monitoring image in the...

Embodiment 3

[0107] Based on the same technical idea, an embodiment of the present application also provides an electronic device. refer to Figure 4 As shown, it is a schematic structural diagram of an electronic device 400 provided in the embodiment of the present application, including a processor 401 , a memory 402 , and a bus 403 . Among them, the memory 402 is used to store execution instructions, including a memory 4021 and an external memory 4022; the memory 4021 here is also called an internal memory, and is used to temporarily store calculation data in the processor 401 and exchange data with an external memory 4022 such as a hard disk. The processor 401 exchanges data with the external memory 4022 through the memory 4021. When the electronic device 400 is running, the processor 401 communicates with the memory 402 through the bus 403, so that the processor 401 executes the following instructions:

[0108] Obtain a surveillance video, and filter out a surveillance image of each ...

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Abstract

The invention provides a method and device for establishing a feature library based on gait recognition and face recognition, and the method comprises the steps of firstly obtaining a monitoring video, and screening out a monitoring image of each pedestrian feature from the monitoring video, secondly, extracting the face features of the pedestrians, and determining the occurrence time of the monitoring images of the pedestrian features in the monitoring video, determining a gait feature video which contains the monitoring image in the monitoring video and has a video duration of a preset timeperiod through the occurrence time of the monitoring image in the monitoring video and a preset time period, and extracting the gait features of pedestrians in the gait feature video, and finally, establishing the feature library according to the face features of each pedestrian and the gait features corresponding to the face features of each pedestrian, so that the accuracy during the identity recognition process is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for establishing a feature library based on gait recognition and face recognition. Background technique [0002] In the process of security inspection or tracking of the target person, after collecting and identifying the face image in the biometric feature, it is compared with the face image database to determine whether the inspection is passed or to determine the course of action of the target person, but because the face is easy to Camouflage, and the quality of the face images taken during face recognition needs to meet the requirements, resulting in errors in the results of collecting and recognizing face images, affecting the efficiency and accuracy of security inspections, and thus misleading the tracking of target personnel. Contents of the invention [0003] In view of this, the purpose of this application is to provide a method and dev...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/25G06V40/168G06V20/52
Inventor 黄永祯史伟康乔艳涛侯康伟
Owner 银河水滴科技(宁波)有限公司
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