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

Social-force-model-based monitoring system

A technology of social force model and monitoring system, which can be applied to closed-circuit television systems, instruments, alarms, etc., and can solve problems such as physical injuries and omissions

Inactive Publication Date: 2012-01-18
RES INST OF HIGHWAY MINIST OF TRANSPORT
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this monitoring system obviously requires the staff to stare at the display with their eyes all the time, which is very harmful to the health of the staff (especially the eyes), and often causes the omission of abnormal phenomena due to the momentary negligence of the staff.

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
  • Social-force-model-based monitoring system
  • Social-force-model-based monitoring system
  • Social-force-model-based monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] A preferred embodiment of the present invention will be described below with reference to the accompanying drawings.

[0024] like figure 1 As shown, the monitoring system includes a data acquisition device, a preprocessing device, an analysis device, an alarm device and a human-computer interaction device.

[0025] The data acquisition device includes a camera device and an automatic image recognition device. The camera device is used to shoot pedestrians and fixed objects, and the captured images are sent to the automatic image recognition device. The automatic image recognition device dynamically divides frames according to requirements to accurately identify pedestrians. and fixed objects, and then use the method of image projection and coordinate change to accurately identify the two-dimensional plane position information of pedestrians and fixed objects.

[0026] The preprocessing device is used to calculate the pedestrian's speed v on the basis of the two-dimens...

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 discloses a social-force-model-based monitoring system, which comprises a data acquisition device and a preprocessing device, wherein the data acquisition device is used for shooting and identifying the two-dimensional plane position information of pedestrians and fixed objects; and the preprocessing device is used for computing behavioral characteristic values of the pedestrians and rejecting abnormal data. The monitoring system further comprises an analysis device, an alarming device and a human-computer interaction device, wherein the analysis device is used for calibrating contact repelling force strength and contact friction force strength and comparing the contact repelling force strength and the contact friction force strength with preset contact repelling force strength and preset contact friction force strength to determine whether to output an alarming signal or not; the alarming device is used for giving an alarm according to the alarming signal; and the human-computer interaction device is used for interaction between the monitoring system and a worker. The system combines video monitoring and computer mode identification effectively based on a social force model, monitors collective behaviors with simple operations, and maximally solves social security problems caused by abnormal collective behaviors.

Description

technical field [0001] The invention relates to a monitoring system based on a social force model. Background technique [0002] With the rapid increase of the population and the strengthening of social security awareness, in order to effectively avoid the impact and injury of abnormal cluster behaviors (such as the occurrence of sudden abnormal events) on social security and personal safety, the current monitoring system mainly uses video surveillance and Artificial recognition to monitor abnormal cluster behavior has been widely used in key occasions of cluster behavior such as intersections and buildings. However, this monitoring system obviously requires the staff to stare at the display with their eyes all the time, which is very harmful to the health of the staff (especially the eyes), and often causes omission of abnormal phenomena due to the momentary negligence of the staff. Contents of the invention [0003] An object of the present invention is to provide a mon...

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): H04N7/18G08B21/02
Inventor 刘浩牛树云张可张海林李静李宏海孙玲
Owner RES INST OF HIGHWAY MINIST OF TRANSPORT
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