Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Violent behavior detecting method based on video analysis

A video analysis and detection method technology, applied in image analysis, closed-circuit television systems, image data processing, etc., can solve the problems of slow speed and low detection accuracy of violent behavior.

Inactive Publication Date: 2012-02-22
BEIJING GUOCHUANG KESHI TECH
View PDF5 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] For this reason, the present invention extracts a method for fast detection of violent behavior based on sports fields to solve the problems of low detection accuracy and slow speed of violent behavior in complex monitoring scenes

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
  • Violent behavior detecting method based on video analysis
  • Violent behavior detecting method based on video analysis
  • Violent behavior detecting method based on video analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0105] The violent behavior detection method proposed by the present invention mainly includes four steps:

[0106] 1. Acquisition of ROI area;

[0107] 2. Sports field calculation;

[0108] 3. Feature extraction;

[0109] Fourth, feature classification.

[0110] in,

[0111] 1. ROI area acquisition includes:

[0112] (1) Target detection, the specific process is:

[0113] Step1 takes five adjacent frames of image I k-2 , I k-1 , I k , Ik+1 , I k+2 , calculate the frame difference data Erro;

[0114] Step2 determines the adaptive threshold T; calculates the mean value of the frame difference data, and multiplies it by a weighting coefficient as the adaptive threshold;

[0115] step3 update α, extract the motion region M k ;

[0116] (2), ROI region identification, the steps are as follows:

[0117] Step1 uses a 3×3 median filter template to eliminate isolated moving points;

[0118] Merge of step2 target area;

[0119] Use the expansion and erosion operations in...

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 relates to a violent behavior detecting method based on video analysis. The method substantially comprises four steps of obtaining an ROI region, calculating an athletic field, extracting characteristics and classifying the characteristics. Computer assistance means and video analysis technology are utilized in the method for intelligently detecting the violent behavior in a monitoring video, quickly finding an abnormal condition and quickly performing early warning so as to effectively avoid the development of violent behaviors, so that the economic and social benefits are remarkable.

Description

technical field [0001] The invention relates to a method for detecting violent behavior based on video analysis. Background technique [0002] There are some potential safety hazards in many places. For example, there are many people in the supervision place, and some people with violent tendencies or extreme behaviors gather. Therefore, violent incidents occur frequently in the supervision place, and the number of injuries and disabilities due to violence is as many as 100,000 each year. This has not only caused a bad impact on society, but also brought irreparable harm to the victims. At present, most of the supervision places use manual surveillance to monitor the violence in the supervision place. However, there are many prison rooms, many prisoners, a large range of activities in the supervision place, and the violent behavior is sudden, and they often avoid it when the violence occurs. Therefore, the means of manual monitoring not only consumes a lot of manpower and m...

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): G06K9/00G06T7/20H04N7/18
Inventor 谢剑斌刘通闫玮李沛秦谢建华杨郴涟
Owner BEIJING GUOCHUANG KESHI TECH
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
Eureka Blog
Learn More
PatSnap group products