Regional crowd trajectory determination method and device

A determination method and area technology, applied in the field of determination method and device of regional crowd trajectories, can solve the problem of low accuracy of regional crowd trajectories

Pending Publication Date: 2020-12-01
TUPU TECH GUANGZHOU CO LTD
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present application is to provide a method and device for determining the trajectory of regional crowds to solve the technical problem of low accuracy in determining the trajectory of regional crowds

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
  • Regional crowd trajectory determination method and device
  • Regional crowd trajectory determination method and device
  • Regional crowd trajectory determination method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0086] As an implementation manner, the regional crowd trajectory determination method may also include the following steps:

[0087] The first step is to determine valid pedestrians in the service area according to the pedestrian trajectory data and the second attribute information.

[0088] In the second step, the border thickness of each actual polygon is determined according to the effective pedestrians in the business area.

[0089] In an optional implementation manner, the server may aggregate pedestrian information in each service area according to the second attribute information and pedestrian trajectory data. Among them, the pedestrian information may include: valid pedestrians, ratio of male to female pedestrians, age distribution, distribution of clothing, etc. Then, the border thickness of each actual polygon can be determined according to the effective pedestrians.

[0090] Wherein, the above-mentioned step of determining valid pedestrians in the service area a...

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 invention provides a regional crowd trajectory determination method and device, and the method comprises the steps of obtaining pedestrian trajectory data of a to-be-analyzed region, and first attribute information of a direction region corresponding to a camera image in the to-be-analyzed region; determining pedestrian flow between two service areas corresponding to the direction area according to the pedestrian trajectory data and the first attribute information; and determining an area crowd track corresponding to the to-be-analyzed area according to the pedestrian flow and the pedestrian flow direction represented by the direction area. In the above scheme, cross-camera identification is not needed, and only the regional crowd trajectory needs to be analyzed for the picture of eachcamera, so that the problem that the accuracy of determining the regional crowd trajectory is relatively low due to low accuracy of cross-camera tracking identification is avoided, namely, the accuracy of determining the regional crowd trajectory is improved.

Description

technical field [0001] The present application relates to the field of trajectory processing, in particular, to a method and device for determining the trajectory of people in an area. Background technique [0002] With the development of artificial intelligence technology, the accuracy of pedestrian recognition using deep learning and neural network model algorithms is almost the same as that of human-made pedestrian recognition. At the same time, there are more and more applications based on pedestrian recognition, such as tracking the trajectory of criminal suspects and analyzing the flow of people in the area. Among them, based on certain application scenarios, the full-frame regional trajectory planar technology can be used to analyze crowd trajectories, that is, by deploying multiple cameras in an area, each camera records crowd images, and uses deep learning algorithms to analyze the crowd trajectories. Identify the characteristics of the crowd to obtain the situatio...

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): G06T7/20
CPCG06T7/20G06T2207/10016
Inventor 刘泽许李明强
Owner TUPU TECH GUANGZHOU 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap