Abnormal behavior identification method, target abnormality identification method, equipment and medium

A recognition method and behavior technology, applied in the field of intelligent recognition, can solve the problem of low accuracy of abnormal behavior recognition

Inactive Publication Date: 2020-11-10
GUANGDONG POLYTECHNIC NORMAL UNIV +2
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method, device, computer equipment, and storage medium for identifying abnormal behaviors, so as to solve the problem of low accuracy in identifying abnormal beh

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 identification method, target abnormality identification method, equipment and medium
  • Abnormal behavior identification method, target abnormality identification method, equipment and medium
  • Abnormal behavior identification method, target abnormality identification method, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0040] The abnormal behavior identification method provided by the embodiment of the present invention can be applied in such as figure 1 In the application environment of , the client (computer device) communicates with the server through the network. (Described in conjunction with the overall solution of right 1. Among them, the client (computer device) can be, but not limited to, various personal computers, notebook computers, smart phones, tablet c...

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 abnormal behavior recognition method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a current frame image, employing a human body key point detection model to detect the current frame image, and obtaining the human body feature information of a monitoring target, wherein the current frame image is an image which is obtained from a monitoring video and contains a monitoring target; matching the human body feature information with preset reference abnormal information to obtain matching information, the matching information indicating a matching result of the human body feature information and the preset reference abnormal information; if the matching information is first type information, acquiring a corresponding related frame image set from the monitoring video, wherein the first type information indicates that the monitoring target is abnormal; and performing behavior recognition on the related frame imageset by adopting a preset behavior recognition model, and determining the behavior information of the monitoring target in the related frame image set, thereby ensuring the accuracy of abnormal behavior recognition of the monitoring target.

Description

technical field [0001] The invention relates to the field of intelligent identification, in particular to an abnormal behavior identification method, an abnormal target identification method, equipment and media. Background technique [0002] With the continuous development of computer technology, especially artificial intelligence technology, more and more related intelligent monitoring and early warning technologies are applied to daily life. According to statistics, it is estimated that by 2020, the population of the elderly over 60 years old will increase to about 255 million, accounting for 17.8% of the total population. The elderly are prone to sudden accidental injuries due to declining physical functions, weakened mobility and resilience, and due to their own diseases or external influences. Among them, falls are the number one killer of accidental injury deaths in the elderly. Therefore, in homes, nursing homes and other places, it is necessary to intelligently mon...

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): G06K9/00
CPCG06V40/20G06V20/42
Inventor 唐宇骆少明郭琪伟侯超钧庄家俊苗爱敏褚璇钟震宇吴亮生
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap