Action recognition method and device and computer readable storage medium

An action recognition and action technology, applied in the field of image processing, can solve the problem of low accuracy of action recognition, and achieve the effects of high accuracy of similarity comparison, comprehensive feature expression, and high accuracy of type recognition

Pending Publication Date: 2022-05-10
ZHEJIANG DAHUA TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] This application mainly provides an action recognition method, device and computer-readable storage medium, which solves the problem of low accuracy of action recognition in the prior art

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
  • Action recognition method and device and computer readable storage medium
  • Action recognition method and device and computer readable storage medium
  • Action recognition method and device and computer readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only part of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0025] The terms "first" and "second" in this application are only used for descriptive purposes, and should not be understood as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of the present application, "plurality" means at least two, such as two, three, etc., unless otherwise s...

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 action recognition method and device and a computer readable storage medium. The method comprises the following steps: acquiring a to-be-recognized image sequence; extracting a to-be-recognized joint point topological graph sequence of a to-be-recognized target from the to-be-recognized image sequence; performing feature extraction on the topological graph sequence of the joint points to be identified by using a feature extraction network to obtain features to be identified; and determining the action type of the to-be-identified target based on the similarity between the to-be-identified feature and the sample feature of at least one sample action, at least part of the sample features being determined based on at least two corresponding sub-sample features. In this way, the accuracy of action recognition can be improved.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an action recognition method, device and computer-readable storage medium. Background technique [0002] In the field of behavior recognition technology, with the rapid development of artificial intelligence, pattern recognition and other technologies, human body behavior recognition has attracted more and more attention, especially in the field of security, effective human motion recognition and analysis can effectively prevent and avoid Some safety accidents happen, therefore, the task of improving the accuracy of human motion recognition is imminent. Contents of the invention [0003] The present application mainly provides an action recognition method, device and computer-readable storage medium, which solves the problem of low accuracy of action recognition in the prior art. [0004] In order to solve the above-mentioned technical problems, the first aspect of th...

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): G06V40/20G06K9/62G06V10/74
CPCG06F18/22
Inventor 白云超魏乃科潘华东殷俊
Owner ZHEJIANG DAHUA TECH CO LTD
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