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Crowd density estimation identification and early warning method

A crowd density and crowd technology, applied in the field of computer vision, can solve the problems of increased accident-inducing factors, long stay time, and increased difficulty of crowd safety management, achieving the effect of low loss of life and property safety and increased speed

Pending Publication Date: 2019-04-19
广东腾晟信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The long stay time of personnel increases the number of potential accident sites and factors that cause accidents, further increases the risk of crowd gathering, and increases the difficulty of crowd safety management. The traditional way is to rely on manpower to keep an eye on dozens of images, and to determine the day purely based on experience. Safeguard plan, when danger comes, it is impossible to make a reasonable and correct response quickly

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0036] A recognition and early warning method for crowd density estimation, comprising the following steps:

[0037] 1), the collection and storage of crowd images:

[0038] Use the camera device to take pictures in real time of a specific area, and control the camera device to take a group of pictures every hour, then collect multiple groups of captured images through the image collection module, and finally complete the image storage module for multiple groups of images storage;

[0039] 2) Detection of crowd avatar density:

[0040] Firstly, the face recognition module is used to recognize and analyze the faces of multiple groups of captured images, and then the face density detection module is used to complete the detection of the density of crowd heads in the image, so that the crowd density of the images taken every hour can be determined ;

[0041] 3) Image comparison of crowd density:

[0042] Through the image comparison module, the density results of the head por...

Embodiment 2

[0052] A recognition and early warning method for crowd density estimation, comprising the following steps:

[0053] 1), the collection and storage of crowd images:

[0054] The camera device is used to take pictures of specific areas in real time, and the camera device is controlled to take a group of pictures every half an hour, and then the image collection module collects multiple groups of captured images, and finally the image storage module completes the multiple groups of pictures image storage;

[0055] 2) Detection of crowd avatar density:

[0056] First, face recognition and analysis are performed on multiple groups of captured images through the face recognition module, and then the face density detection module is used to complete the detection of the head portrait density of the crowd in the image, so that the image crowd taken every half an hour can be determined density;

[0057]3) Image comparison of crowd density:

[0058] Through the image comparison mod...

Embodiment 3

[0068] A recognition and early warning method for crowd density estimation, comprising the following steps:

[0069] 1), the collection and storage of crowd images:

[0070] The camera device is used to take pictures of specific areas in real time, and the camera device is controlled to take a group of pictures every fifteen minutes, and then the image collection module collects multiple groups of captured images, and finally the image storage module completes the multiple groups of pictures image storage;

[0071] 2) Detection of crowd avatar density:

[0072] Firstly, the face recognition module is used to recognize and analyze the faces of multiple groups of captured images, and then the face density detection module is used to complete the detection of the head portrait density of the crowd in the image, so that the crowd of images taken every fifteen minutes can be determined density;

[0073] 3) Image comparison of crowd density:

[0074] Through the image comparison...

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Abstract

The invention discloses a crowd density estimation identification and early warning method, and relates to the technical field of computer vision. The invention discloses a crowd density estimation identification and early warning method. The method comprises the following steps: carrying out pretreatment; collecting and storing crowd images; detecting crowd head portrait density, making Image contrast of crowd density, realizing over-value alarm of crowd density. The system comprises a camera device, an image collection module, an image storage module, a human voice density detection module,a human voice density comparison module and a human voice excess alarm module, the output end of the camera device is electrically connected with the input end of the image collection module, the image collection module is bidirectionally connected with the image storage module, and the output end of the image collection module is electrically connected with the input end of the face recognition module. According to the crowd density estimation identification and early warning method and system, the abnormal condition of each point location can be automatically reminded, the passenger flow peak period can be predicted to make a deployment scheme in advance, after a dangerous condition occurs, the system automatically makes a chain reaction, and the life and property safety loss of people is reduced to the minimum.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a recognition and early warning method for crowd density estimation. Background technique [0002] With the continuous improvement of people's living standards in our country, the phenomenon of "blowout" of crowds often occurs in comprehensive commercial areas of large cities, famous tourist attractions and other areas, especially during holidays. The long stay time of personnel increases the number of potential accident sites and factors that cause accidents, further increases the risk of crowd gathering, and increases the difficulty of crowd safety management. The traditional way is to rely on manpower to keep an eye on dozens of images, and to determine the day purely based on experience. Safeguard plan, when the danger comes, it is impossible to make a reasonable and correct response quickly. Contents of the invention [0003] (1) Solved technical problems [0004...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01H17/00
CPCG01H17/00G06V20/53
Inventor 陈华
Owner 广东腾晟信息科技有限公司
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