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

Real-time human skeleton articulation point detection method

A detection method and joint point technology, applied in the field of image processing, to achieve the effect of reducing the amount of calculation and ensuring efficiency

Active Publication Date: 2018-10-12
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problem in the prior art that only focuses on how to improve the accuracy of the model, but does not pay attention to how to reduce the calculation amount of the model and make the result generation faster, the present invention provides a real-time human bone joint point detection method, which is designed A hierarchical contextual pose detection network, which can significantly reduce the computational load of the model and ensure the efficiency of model training and deployment

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
  • Real-time human skeleton articulation point detection method
  • Real-time human skeleton articulation point detection method
  • Real-time human skeleton articulation point detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0053] The present invention provides a real-time detection method of human bone joint points, please refer to figure 1 , through the following steps:

[0054] Step 1, get the detection data set.

[0055] In this embodiment, step 1 is implemented through the following process:

[0056] Step 11, obtain the detection data set D, the sample (X, Y)∈D in the detection data set, where X is the input human body image containing a single person, and Y is the corresponding joint point coordinate set representing the human body pose {y 1 ,y 2 ,...,y J}∈Y, J is the number of joint points.

[0057] Step 12, in order to generate the class labels required for training the coordinate set network, that is, the set of heat maps {h 1 ,h 2 ,..., h J}∈h, the coordinate set Y needs to be processed. Set the heat map h j The width and height are respectively W h and...

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 real-time human skeleton articulation point detection method and belongs to the field of image processing. The invention designs a hierarchical context attitude detection network, digital image processing and deep learning are adopted for realizing real-time detection on coordinates of skeleton articulation points of human bodies under the conditions of different attitudes, different illuminations and different scale dimensions, a real-time detection method is realized while precision is guaranteed, calculation amount of a model can be obviously reduced, and model training, deployment and usage efficiency is guaranteed.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a real-time human skeleton joint point detection method. Background technique [0002] In recent years, with the rapid improvement of hardware performance such as computer processors and computer image parallel processors, as well as the rapid development of deep learning research in the field of computer vision and the rapid application of algorithms, video surveillance technology has also developed rapidly. The intelligentization, platformization, and information linkage of video surveillance technology have been further developed, which can be said to be an indispensable link in the field of security. Video surveillance involves many fields such as image processing, traditional machine learning, deep learning, artificial intelligence, big data, cloud computing, etc. It is not only a problem of multidisciplinary integration, but also a subject of continuous developme...

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): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V10/44G06F18/253G06F18/214
Inventor 张锋叶茂罗欢胡洪
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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