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

Method and device for detecting abnormal behaviors

A behavioral and abnormal technology, applied in image data processing, instrumentation, calculation, etc., can solve the problem of low accuracy of detection results

Active Publication Date: 2014-04-30
BEIJING UNIV OF POSTS & TELECOMM
View PDF4 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an abnormal behavior detection method and device to solve the problem in the prior art that the accuracy of detection results is low in monitoring scenes with many pedestrians

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 and device for detecting abnormal behaviors
  • Method and device for detecting abnormal behaviors
  • Method and device for detecting abnormal behaviors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The technical solutions of the present invention will be further described in detail below through specific embodiments and accompanying drawings.

[0019] figure 1 A schematic flowchart of an embodiment of the abnormal behavior detection method provided by the present invention. like figure 1 As shown, the method may specifically include:

[0020] S101, analyze the behaviors of multiple moving objects to be detected whose behavior types are not determined in the three-dimensional video to be detected collected in real time, and acquire behavior characteristics of each moving object to be detected. The behavior types include normal behaviors and abnormal behaviors, and the behavior characteristics include Three-dimensional space information and time point information.

[0021] Specifically, a three-dimensional (3 Dimensional, 3D for short) somatosensory camera can be used to collect multiple videos (including RGB video and depth video) in different directions, differ...

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 provides a method and device for detecting abnormal behaviors. The method comprises the steps that behaviors of a plurality of moving objects, to be detected, with undetermined behavior types are analyzed, the moving objects to be detected are collected in a three-dimensional video in real time, the behavior feature of each moving object to be detected is obtained, the behavior types comprise normal behaviors and the abnormal behaviors, and the behavior features comprise three-dimensional space information and point-in-time information; corresponding behavior feature models to be detected are constructed according to the behavior features of the moving objects to be detected; the behavior feature models to be detected are compared with sample behavior feature models with determined behavior types in a database, and behavior types corresponding to the sample behavior feature models most similar to the behavior feature models to be detected in the database are determined to be the behavior types of the moving objects to be detected. According to the method and device for detecting the abnormal behaviors, the problems that due to the fact that pedestrians are blocked seriously, analysis errors of the behavior features of the moving objects are large, and the accuracy of a detection result is low are solved.

Description

technical field [0001] The present invention relates to the technical field of image processing and pattern recognition, and in particular, to a method and device for detecting abnormal behavior. Background technique [0002] Abnormal behavior detection technology is usually used in video surveillance systems in public places with many pedestrians (such as shopping malls, hospitals, subway stations, etc.), when abnormal events (such as fights, group fights, parades, etc.) Alarm, so that monitoring personnel can respond and deal with it in a timely manner, so as to avoid harm to public property safety, personal safety of the parties and social harmony. [0003] At present, the detection of abnormal behavior is usually based on two-dimensional video images collected by traditional cameras. The specific process is as follows: First, analyze the behavior of multiple moving objects with determined behavior types (normal behavior or abnormal behavior) in the two-dimensional sample...

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): G06T7/20
Inventor 明悦范春晓吴岳辛贾哲徐伟琳
Owner BEIJING UNIV OF POSTS & TELECOMM
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