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Crowd counting method and system, computer readable storage medium and server

A crowd counting and crowd technology, applied in computer parts, computing, instruments, etc., can solve problems such as inability to solve a variety of scales, achieve intuitive effects, improve computing performance, and have a wide range of applications

Active Publication Date: 2019-02-19
WINNER TECH CO INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the above-mentioned shortcomings of the prior art, the object of the present invention is to provide a crowd counting method, system, computer-readable storage medium and server, which are used to solve the problem of crowd counting in various scales and in various scenarios that the prior art cannot solve. counting problem

Method used

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  • Crowd counting method and system, computer readable storage medium and server
  • Crowd counting method and system, computer readable storage medium and server
  • Crowd counting method and system, computer readable storage medium and server

Examples

Experimental program
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Embodiment 1

[0051] This embodiment provides a crowd counting method, including:

[0052] Perform training preprocessing on the original image set containing the crowd to form a preprocessed image set;

[0053] In combination with multi-channel deformable convolution, a convolutional neural network is built; the convolutional neural network is used to map the original image set containing the crowd into a heat map;

[0054] Train the built convolutional neural network to form another convolutional neural network;

[0055] Inputting the original image set into the another convolutional neural network to obtain a heat map corresponding to the original image set.

[0056] The crowd counting method provided by this embodiment will be described in detail below with reference to figures. The crowd counting method described in this embodiment is applied to such as figure 1 In the application scenario 1 shown. In this application scenario 1, RTSP video streams or frame screenshots are collecte...

Embodiment 2

[0106] This embodiment provides a crowd counting system, including:

[0107] A preprocessing module, configured to perform training preprocessing on the original image set containing the crowd to form a preprocessing image set;

[0108] Build a module, be used for combining multi-channel deformable convolution, build a convolutional neural network; Described convolutional neural network is used for mapping the original image set that contains crowds into a heat map;

[0109] The training module is used to train the built convolutional neural network to form another convolutional neural network;

[0110] A verification module, configured to input the original image set into the other convolutional neural network to obtain a heat map corresponding to the original image set.

[0111] The crowd counting system provided by this embodiment will be described in detail below with reference to illustrations. It should be noted that it should be understood that the following division ...

Embodiment 3

[0120] This embodiment provides a server, including: a processor, a memory, a transceiver, a communication interface or / and a system bus; the memory and the communication interface are connected to the processor and the transceiver through the system bus and complete mutual communication, and the memory is used for The computer program is stored, the communication interface is used to communicate with other devices, the processor and the transceiver are used to run the computer program, so that the server executes various steps of the crowd counting method described in the embodiment.

[0121] The system bus mentioned above may be a Peripheral Component Interconnect (PCI for short) bus or an Extended Industry Standard Architecture (EISA for short) bus or the like. The system bus can be divided into address bus, data bus, control bus and so on. The communication interface is used to realize the communication between the database access device and other devices (such as client, ...

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Abstract

The invention provides a crowd counting method and system, a computer-readable storage medium and a server. The crowd counting method comprises the following steps: training and preprocessing an original image set containing a crowd to form a preprocessed image set; combining with multi-channel deformable convolution, constructing a convolution neural network, wherein the convolution neural network is used for mapping an original image set containing a crowd to a thermodynamic map; training the convolutional neural network to form another convolutional neural network.; inputting a test set ofthe original image set into the other convolution neural network to obtain a thermodynamic map corresponding to the original image set. The crowd counting method and system, the computer readable storage medium and the server provided by the invention can effectively solve the crowd counting problem under a plurality of scales and a plurality of scenes.

Description

technical field [0001] The invention belongs to the field of intelligent monitoring and counting, and relates to a counting method and system, in particular to a crowd counting method, system, computer-readable storage medium and server. Background technique [0002] In various gatherings, traffic arteries and other public places, crowds often gather. At this time, the problem of crowd control is very important. In terms of safety, it is necessary to give early warning to the number of crowds for reasonable scheduling. In business In fact, crowd gathering places often mean the mining of commercial value points. However, crowds are fluid and diverse, so how to use surveillance images and videos in these public places to obtain the number of current crowds is very meaningful. [0003] At present, there are many intelligent monitoring solutions for calculating the current number of people, and their technical directions mainly include the following: [0004] 1) Target detecti...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/53
Inventor 袁德胜游浩泉张欣欣王作辉姚磊杨进参王海涛
Owner WINNER TECH CO INC
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