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

Abnormal behavior detection method, system and medium based on human skeleton

A technology of human skeleton and detection method, which is applied in the fields of instrument, calculation, character and pattern recognition, etc., can solve the problems of poor robustness, high time overhead, and inability to distinguish skeletons well, and achieves fast running speed and reduced training parameters. , Excellent detection accuracy

Active Publication Date: 2021-10-15
SHANGHAI JIAOTONG UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method proposes to use the human skeleton for abnormal behavior detection, but the method of calculating the human skeleton uses a top-down "frame difference method"
In the crowded state of many people, the time overhead is large and the skeleton of each person cannot be well distinguished, and the robustness is poor

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
  • Abnormal behavior detection method, system and medium based on human skeleton
  • Abnormal behavior detection method, system and medium based on human skeleton
  • Abnormal behavior detection method, system and medium based on human skeleton

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0094] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0095] A method for detecting abnormal behavior based on a human skeleton provided by the present invention includes:

[0096] Step S1: Establish a training video sample database, and construct an original video database with a preset frame length according to the public violent behavior database;

[0097] Step S2: According to the obtained original video database, extract human skeletons in all video samples in the original database, and obtain the skeleton video database;

[0098] Step S3: deframe al...

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 present invention provides a human skeleton-based abnormal behavior detection method, system and medium, including: step S1: establish a training video sample database, and construct an original video database with a preset frame length according to the public violent behavior database; step S2: according to The obtained original video database uses the open source attitude estimation algorithm OpenPose to extract the human skeleton in all video samples in the original database to obtain the skeleton video database; Step S3: Utilize the FFmpeg tool to deframe all the video samples in the obtained skeleton video database into Skeleton image stream to obtain the skeleton image stream; step S4: Input the obtained skeleton image stream into the 3D-DenseNet network model for training in sequence, and obtain the trained 3D-DenseNet network model. The present invention uses the human skeleton and 3D-DenseNet to detect abnormal behaviors for the first time, with high detection accuracy, strong robustness, real-time output and updated detection results.

Description

technical field [0001] The present invention relates to the technical field of image detection, in particular, to a method, system and medium for abnormal behavior detection based on a human skeleton. In particular, it relates to an intelligent abnormal behavior detection method based on human skeleton and 3D-DenseNet network model. Background technique [0002] In recent years, with the large-scale deployment and use of surveillance systems, a large amount of surveillance video data has been generated. The role of the monitoring system is to detect target behavior and abnormal behavior, and it becomes increasingly difficult to screen and detect videos only manually. Therefore, relying on the method of computer vision to analyze the surveillance video, so as to automatically detect a series of violent behaviors that endanger public safety such as fights and fights that appear in the surveillance video, is of great significance for maintaining social stability and realizing ...

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 Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06V20/40G06V20/44G06F18/214
Inventor 孙锬锋蒋兴浩许可杨丰嘉
Owner SHANGHAI JIAOTONG UNIV
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