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Crowd density estimation method and system

A technology of crowd density and density, applied in the field of computer vision, to achieve the effects of high acquisition efficiency, accelerated training, and adaptive enhancement of location features

Active Publication Date: 2020-09-04
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a method and system for estimating crowd density maps. Aiming at the problem of human head size differences in complex backgrounds, effective features are extracted by using multi-scale modules and feature enhancement unit features, and realized from coarse to A detailed strategy for crowd density map estimation

Method used

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Embodiment 1

[0043] This embodiment discloses a crowd density map estimation method based on multi-scale modules and feature enhancement units, such as figure 1 shown, including:

[0044] Step 1: Obtain a scene image, perform crowd area recognition and head recognition on the scene image;

[0045] Step 2: Estimate the head density of each crowd area based on the nearest neighbor algorithm, and generate a crowd density label map;

[0046] First, the original image is scaled, and then the density map label is generated based on the position of the head. Specifically, the size of the head in the image is estimated using the nearest neighbor algorithm, and then the corresponding Gaussian kernel is generated according to the size of the head and covered to the corresponding position of the density map to obtain the density map. Label. The sum of the pixel values ​​of each head area is 1, the non-zero value represents the area where the head is located, and the value of the background area is ...

Embodiment 2

[0062] The purpose of this embodiment is to provide a crowd density estimation system based on multi-scale modules and feature enhancement units.

[0063] A crowd density estimation system based on multi-scale modules and feature enhancement units of the present invention includes:

[0064] The image acquisition module acquires the scene image;

[0065] The label map generation module preprocesses the scene image to generate a crowd density label map;

[0066] The data augmentation module performs data augmentation on scene images and crowd density label maps to obtain multiple scene images and corresponding crowd density label maps;

[0067] The model training module trains the crowd density map estimation model according to the plurality of scene images and corresponding crowd density label maps;

[0068] The density estimation module receives scene images, and performs crowd density estimation based on the trained crowd density map estimation model.

[0069] The populati...

Embodiment 3

[0071] The purpose of this embodiment is to provide an electronic device.

[0072] An electronic device, comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, when the processor executes the program, the following steps are implemented, including:

[0073] Obtain the scene image, preprocess the scene image, and generate a crowd density label map;

[0074] Perform data augmentation on scene images and crowd density label maps to obtain multiple scene images and corresponding crowd density label maps;

[0075] Training a crowd density map estimation model according to the multiple scene images and corresponding crowd density label maps;

[0076] Receive the scene image, and estimate the crowd density based on the trained crowd density map estimation model.

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Abstract

The invention discloses a crowd density map estimation method and system, and the method comprises the following steps: obtaining a scene image, carrying out the preprocessing of the scene image, andgenerating a crowd density label map; performing data augmentation on the scene images and the crowd density label graphs to obtain a plurality of scene images and corresponding crowd density label graphs; training a crowd density map estimation model according to the plurality of scene images and the corresponding crowd density label map; and receiving a scene image, and performing crowd densityestimation based on the trained crowd density map estimation model. Aiming at the problem of head size difference under a complex background, effective features are extracted by using a multi-scale module and features of a feature enhancement unit, and crowd density map estimation is carried out by using a coarse-to-fine strategy.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a crowd density estimation method and system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Crowd density map estimation refers to estimating the crowd distribution in the image or video for a given image or video, and displaying it in the form of a density map. Further, according to the pixel values ​​of the density map, the number of people in it can be counted. As a sub-task of intelligent crowd behavior analysis technology, this technology has become a research hotspot in academia and industry in recent years, and its application is also relatively wide, such as the monitoring of the flow of people in stations and other places and the distribution of people in scenic spots. Real-time monitoring of the crowd density ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V20/53G06V10/464G06N3/048G06N3/045
Inventor 张友梅李彬张瑜
Owner QILU UNIV OF TECH
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