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

Method for detecting abnormal behavior during video monitoring

A technology of video surveillance and detection method, which is applied in closed-circuit television systems, image data processing, instruments, etc., and can solve problems such as prone to alarms

Active Publication Date: 2012-08-08
CHENGDU JIAYITONG INFORMATION TECH CO LTD
View PDF5 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method is related to the complexity of the scene. In places with many people, even if there is no fight, it is easy to alarm

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
  • Method for detecting abnormal behavior during video monitoring
  • Method for detecting abnormal behavior during video monitoring
  • Method for detecting abnormal behavior during video monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The present invention provides a method for detecting abnormal behavior in video monitoring, the system structure block diagram of the method is as follows figure 1 As shown, it includes a video acquisition unit, an abnormal behavior analysis unit and an alarm unit.

[0038] The main function of the video acquisition unit is to shoot the monitoring scene through a general analog camera and obtain analog video images, and then convert them into digital image data through a general video acquisition card. Here, there are certain requirements for the installation height and angle of the camera. The installation of the camera should make the whole human body appear in the video screen, and the erection of the camera should make the whole body information of the human body fully displayed in the video screen.

[0039] The main function of the abnormal behavior analysis unit is to convert the input color digital image data into a grayscale image, and then detect whether any 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 discloses a method for detecting an abnormal behavior during video monitoring. By using the current detection method, there is one single consideration factor and misinformation is easy to be generated. By using the method of the invention, the above problem can be solved. The method comprises the following steps: a. reading a video image frame and converting a video image into a grayscale image; b. detecting a motion object in the grayscale image; c. tracking the motion object, determining and analyzing the motion object; d. calculating and analyzing an interframe variation entropy value of the motion object and simultaneously carrying out motion object characteristic point extraction, calculating a motion speed and a direction of the each characteristic point and calculating motion energy of the motion object; e. according to the interframe variation entropy value of the motion object and the motion energy, carrying out a fighting decision, giving an alarm if there is a fight.

Description

Technical field: [0001] The invention belongs to the technical field of video monitoring, in particular to a method for detecting abnormal behavior in the behavior analysis of moving objects. Background technique: [0002] Intelligent video surveillance includes target detection, target classification, target tracking, and target behavior analysis and understanding. Abnormal target behavior detection is one of the important contents of moving target behavior analysis and understanding. Compared with conventional behaviors, the abnormal behaviors of targets in specific occasions such as robbery, fighting, and chasing often manifest as irregular behaviors with large suddenness, strong movement range, unpredictable, and inconsistent movement directions. [0003] In the traditional video surveillance system, the abnormal behavior of the target is usually observed and checked manually through video playback after the abnormal behavior of the target occurs. This method is not only...

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
IPC IPC(8): G06T7/20H04N7/18
Inventor 师改梅胡入幻白云杨云缪泽补建罗安周聪俊
Owner CHENGDU JIAYITONG INFORMATION TECH CO LTD
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