Visitor flow rate statistical method and device based on image recognition

A technology of image recognition and statistical methods, applied in character and pattern recognition, calculation, computer parts, etc., can solve the problems of unprepared counting, poor passability, high overall cost, etc., and achieve the effect of preventing double counting and improving accuracy

Active Publication Date: 2017-04-19
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
View PDF3 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, based on the poor passability of physical solutions such as access control or turnstiles, the existence of access control turnstiles greatly limits the speed of the flow of people; and the overall cost is high; and the existing method of counting the flow of people based on video image analysis uses The main idea is to count the number of target faces that appear in the video frame image, but obviously the target face may appear repeatedly in different video frames, so that the count is not ready

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
  • Visitor flow rate statistical method and device based on image recognition
  • Visitor flow rate statistical method and device based on image recognition
  • Visitor flow rate statistical method and device based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The embodiment of the present invention provides a method and device for counting people flow based on image recognition, in order to improve the accuracy of counting people flow

[0025] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0026] The terms "first", "second" and "third" in the specification and claims of the present invention and the above drawings are used to disting...

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 visitor flow rate statistical method and device based on image recognition, and the method comprises the steps: sequentially obtaining target human faces in N target images, so as to obtain a first target human face set, wherein N is a positive integer; carrying out the filtering of the first target human face set based on a human face tracking algorithm, so as to obtain a second target human face set; carrying out the filtering of the second target human face set based on a human face feature value real-time clustering algorithm, so as to obtain a third target human face set; and counting the target human faces in the third target human face set, so as to obtain a visitor flow rate statistical value. The method carries out the two-layer filtering of N target images, and can accurately filter out repeated human faces in the target human faces, so as to avoid the repeated counting of target human faces, and improve the visitor flow rate statistical accuracy.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a method and device for counting people flow based on image recognition. Background technique [0002] In many scenarios, the flow of people entering a certain checkpoint or area is very useful information. This requirement widely exists in many environments such as security, transportation, and commerce. issues of continuing concern. [0003] At present, the statistics of people flow can be divided into physical solutions based on access control or turnstiles and solutions based on video image analysis. However, based on the poor passability of physical solutions such as access control or turnstiles, the existence of access control turnstiles greatly limits the speed of the flow of people; and the overall cost is high; and the existing method of counting the flow of people based on video image analysis uses The main idea of ​​is to count the number of target faces appear...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/173G06V40/161G06V20/46
Inventor 钟斌
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products