Crowd density estimation method and device, electronic equipment and medium

A crowd density and crowd technology, applied in the field of image processing, can solve the problem of low accuracy and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2019-12-20
HANGZHOU WEIMING XINKE TECH CO LTD +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to factors such as the limitation of scene diversity, the accuracy of existing crowd density estimation methods is not high

Method used

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  • Crowd density estimation method and device, electronic equipment and medium
  • Crowd density estimation method and device, electronic equipment and medium
  • Crowd density estimation method and device, electronic equipment and medium

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Embodiment Construction

[0026] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0027] It should be noted that, unless otherwise specified, technical terms or scientific terms used in this application shall have the usual meanings understood by those skilled in the art to which this application belongs.

[0028] In addition, the terms "first" and "second", etc. are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "include" and "have", as well as any variations the...

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Abstract

The invention provides a crowd density estimation method and device, electronic equipment and a computer readable medium. The crowd density estimation method comprises the following steps: obtaining amonitoring video for the crowd in the monitoring area, and extracting a key frame in the monitoring video, wherein the difference between image frames of the key frame is greater than a preset difference threshold value; and inputting the key frame into a convolutional neural network model for crowd analysis, and outputting a crowd density estimation graph and a people number estimation result corresponding to the key frame, the convolutional neural network model being established through deep learning training by taking different images and the crowd density estimation graph and the people number estimation result corresponding to the different images as a sample set. Since the crowd density estimation is performed after the key frame in the monitoring video is extracted, compared with the prior art, the crowd density estimation efficiency and accuracy can be improved.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a crowd density estimation method and device, an electronic device, and a computer-readable medium. Background technique [0002] In major cities, with the increase of residential population density, the behavior of crowds gathering in large numbers is increasing and the scale is getting bigger and bigger. Although cameras are installed in almost every corner of the city, the current gathering of crowds still lacks effective management and control. Therefore, it becomes an important task in urban management to estimate the density of crowds in specific occasions. [0003] Crowd density estimation plays an important role in disaster protection, design of public places, and intelligent scheduling of personnel. When a scene space accommodates too many pedestrians, stampede accidents are prone to occur, and crowd density estimation can give early warning to such ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/53G06N3/045G06V10/82G06F18/24133
Inventor 王伊飞黄晓峰殷海兵贾惠柱
Owner HANGZHOU WEIMING XINKE TECH CO LTD
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