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

Escalator intelligent safety monitoring method based video analysis

An escalator and safety monitoring technology, applied in the direction of instrument, calculation, character and pattern recognition, etc., can solve problems such as hidden dangers of passengers' personal safety, and achieve the effect of protecting personal safety, preventing stampede incidents, and detecting fast.

Inactive Publication Date: 2017-03-15
NANJING UNIV OF SCI & TECH
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is unavoidable that people on the escalator will have a stampede due to retrograde or falling, which will cause hidden dangers to the personal safety of passengers.

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
  • Escalator intelligent safety monitoring method based video analysis
  • Escalator intelligent safety monitoring method based video analysis
  • Escalator intelligent safety monitoring method based video analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] The present embodiment is based on the escalator intelligent safety monitoring method of video analysis, and the steps are as follows:

[0050] Step 1, extracting video image sequences from cameras installed in the surveillance area;

[0051] Step 2, according to the extracted video sequence, combined with the video text information, a mixed Gaussian background model is established, and the extracted current background is as follows: figure 2 shown.

[0052] Step 3, in the foreground area, use the SVM+HOG classifier to identify human objects, and mark the human objects, the recognition results are as follows image 3 shown;

[0053] Step 4, use the optical flow method to detect the corner points of the human object and calculate the size and direction of the optical flow, and the size and direction of the optical flow of the corner points are marked in the video image, such as Figure 4 shown;

[0054] Step 5, since the running direction of the escalator is as follow...

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 an escalator intelligent safety monitoring method based video analysis. The method comprises the followings steps of firstly obtaining a real-time video image sequence in a camera installed in a monitor area; then establishing a hybrid gaussian background model, and inhibiting shadows in a video image to extract a foreground; then carrying out human body object identification of the foreground via a classifier, and calculating the angular point light stream of a human body object, so as to determine whether abnormal behaviors such as retrograde motion or falling of passengers exist or not and to timely take measures of sudden stop of an escalator and the like, thereby ensuring the personal safety of passengers on the escalator. With the method provided by the invention, the precision of human body object detection is high, the detection speed is fast, by determining abnormal behaviors of the human body object with the angular point light stream, the probability of trampling events due to retrograde motion or falling of persons is effectively prevented, and the personal safety of passengers is protected to the greatest extent.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to an intelligent safety monitoring method for escalators based on video analysis. Background technique [0002] Escalators play an important role in public places such as shopping malls, subways, and railway station entrances and exits. However, uncivilized behaviors such as crowding and shoving are often prone to occur during peak crowds, resulting in unexpected situations such as people falling. In order to prevent major safety accidents caused by people falling, it is necessary to stop the elevator and escalator immediately when a person falls. [0003] With the development of intelligent video technology, there have been some studies on the application of intelligent video technology to detect whether pedestrians have fallen or other abnormal behavior. Chinese invention patent 1 (application number CN200910154420) discloses an escalator energy-saving and installation ...

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): G06K9/00G06K9/62
CPCG06V20/40G06V20/52G06V2201/07G06F18/2411
Inventor 周俊朱建良秦亚杰邓远苏婧杨
Owner NANJING UNIV OF SCI & TECH
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