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

Football player posture calibration method and system based on human body key point detection

A kind of athlete and key point technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of poor recognition effect and low recognition efficiency, and achieve the effect of improving detection ability, improving extraction ability, and increasing running speed

Pending Publication Date: 2019-05-14
SHANDONG NORMAL UNIV
View PDF7 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the recognition efficiency of this algorithm is low, and the recognition effect 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
  • Football player posture calibration method and system based on human body key point detection
  • Football player posture calibration method and system based on human body key point detection
  • Football player posture calibration method and system based on human body key point detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0055] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0056] see figure 1 , the football player posture teaching method based on human body key point detection of...

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 a football player posture calibration method and system based on human body key point detection. The method comprises: detecting a plurality of groups of video data of the standard football player under the same action instruction to obtain a plurality of groups of human skeletons, and calculating an average value obtained by summing the positions of the plurality of groupsof human skeletons as standard posture data to obtain a standard posture topological graph; comparing the actual posture topological graph with a standard posture topological graph, and judging whether the posture of the football player is standard or not according to a set threshold value and the similarity between the two groups of data. The wrong actions of football players can be identified and corrected, so that the training quality and effectiveness of the football players are improved.

Description

technical field [0001] The present disclosure relates to a football player posture calibration method and system based on human body key point detection. Background technique [0002] The statements in this section merely enhance the background related to the present disclosure and may not necessarily constitute prior art. [0003] The use of computer image processing technology to recognize human body movements has become a contemporary research hotspot. However, there are very few studies that apply computer vision to the field of sports to recognize and analyze athletes' movements. The standardization of athletes' movements is related to the effectiveness of athletes' training, and it is also related to the development of sports in our country. Therefore, the research on the system of correcting wrong movements of football players has important practical significance. The traditional method uses the image contour detection algorithm for human motion detection, and determ...

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): G06K9/00G06N3/04G06N3/08
Inventor 吕蕾李燕谭文韬李涛纪新智
Owner SHANDONG NORMAL 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