Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

People counting method and system in image

A people counting and image technology, applied in the field of image recognition, can solve the problem of inaccurate number of people in complex scenes

Inactive Publication Date: 2020-01-31
ZHENGZHOU UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method and system for counting people in images to solve the problem of inaccurate counting of people in complex scenes in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • People counting method and system in image
  • People counting method and system in image
  • People counting method and system in image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0026] The embodiment of the invention discloses a method for counting people in an image. like figure 1 and 2 As shown, the method includes the following steps:

[0027] Step S101: Divide the original image into a foreground area and a foreground area.

[0028] The method of the embodiment of the present invention uses a neural network to obtain a depth image, and then uses a clustering method to divide the depth image into a distant view area and ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The embodiment of the invention discloses a people counting method and system in an image. The method comprises the following steps: dividing an original image into a distant view area and a close view area; for the distant view area, counting the number of people in the distant view area according to the density map of the human head; for the close view area, counting the number of people in theclose view area according to an object detection network model; and calculating the sum of the number of people in the long-range area and the number of people in the close view area to obtain the number of people in the original image. According to the embodiment of the invention, the method comprises the steps: setting parameters, according to the method, the depth information is used for cutting the distant-view area and the close view area of the image, the areas in the image are reasonably divided, and different methods are used for counting the number of people according to different characteristics of the distant-view area and the close view area, so that the total number of people in the output image is closer to a true value, and the method is particularly suitable for counting the number of people in a complex scene.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and system for counting people in an image. Background technique [0002] The monitoring, detection and analysis of crowd activity rules, and the establishment of an automatic, real-time, and intelligent crowd analysis system have extremely important practical significance for building a safe city and a smart city. With the construction of a safe city, a large number of video surveillance equipment has been widely used in public places such as stations, intersections, squares, banks, and supermarkets. The collected video information can be used to effectively monitor and analyze crowd behavior in key places. , can not only provide reusable basic resources for the crowd analysis system, but also visually present visual evidence. [0003] Due to the wide coverage of cameras in special public places, a complex crowd scene appears, which is a random distribution o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06T7/10
CPCG06T7/10G06T2207/20081G06T2207/20084G06T2207/30242G06V20/10G06N3/045G06F18/23
Inventor 徐明亮姜晓恒吕培周兵葛昭阳
Owner ZHENGZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com