Intelligent detection method for abnormal behavior in video sequence image

A video sequence and video image technology, applied in the field of image processing, can solve the problems of poor real-time performance and large amount of calculation, and achieve the effect of improving running speed and efficiency, improving real-time performance and reducing hardware requirements.

Inactive Publication Date: 2015-06-03
CHONGQING UNIV OF POSTS & TELECOMM
View PDF3 Cites 47 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The present invention aims at the defects of large amount of calculation and poor real-time performance of the existing behavior detection technology. Firstly, the moving target in the video sequence image is detected and tracked through codebook background modeling and improved particle filter; then the warning line, In the warning area, the behavior of the moving target is analyzed according to the results obtained from target detection and tracking, and the moving target crosses the warning line, the moving target enters the virtual wall, the acceleration of the moving target and the abnormal behavior of the human body are detected

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
  • Intelligent detection method for abnormal behavior in video sequence image
  • Intelligent detection method for abnormal behavior in video sequence image
  • Intelligent detection method for abnormal behavior in video sequence image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The implementation of the present invention will be further specifically described below with reference to the accompanying drawings and specific examples.

[0028] Such as figure 1 Shown is the flow chart of intelligent detection of abnormal behavior in video sequence images. Including, target detection, target tracking, behavior detection, establishing an intelligent monitoring system for abnormal behavior detection, including target detection module, target tracking module, and behavior detection module. Input video sequence images, codebook background modeling to detect and track moving objects in the video sequence images, and set virtual lines and virtual walls to analyze the behavior of moving objects. The behavior detection module detects the moving object crossing the virtual line, the moving object entering the virtual wall, the acceleration of the moving object and the abnormal behavior of human body movements.

[0029] First, use Codebook to model the back...

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 intelligent detection method for abnormal behavior in a video sequence image, and relates to the technical field of image processing. Aiming at the defects of large computation burden and poor realtime performance in the existing behavior detection technology, the method comprises the steps of performing target detection and target tracking on a moving target in the video sequence image through codebook background modeling and modified particle filter, then setting a warning line and a warning region, analyzing the behavior of the moving target according to results obtained through target detection and tracking, and performing detection on getting over the warning line of the moving target, entering a virtual wall of the moving target, accelerating of the moving target and abnormal behavior of human body movement.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to the detection of moving objects in video sequence images. Background technique [0002] In modern society, there are more and more places for people's activities, and the content is more and more abundant, so the abnormal behaviors and emergencies faced will also increase accordingly. Therefore, people's requirements for video surveillance systems are raised to "how to prevent potential dangers", which requires relevant departments to increase the number of electronic probes in key areas and expand video surveillance areas, improve the intelligence level of video surveillance systems, and carry out all-weather, real-time automatic monitoring. monitoring. The emergence of intelligent video surveillance technology has completely changed the previous working mode of analyzing and monitoring video entirely by people. The intelligent video surveillance algorithm is embedded ...

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): G06T7/20G06K9/00
Inventor 瞿中鞠芳蓉陈昌志安世全刘达明
Owner CHONGQING UNIV OF POSTS & TELECOMM
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