Three-dimensional human body action reconstruction system and method and action training system

A technology of human action and movement, applied in the field of action recognition, can solve the problems of low recognition accuracy and high application scene requirements, and achieve the effect of reducing requirements and avoiding errors

Pending Publication Date: 2019-12-06
GUANGDONG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of this application is to provide a 3D human body motion reconstruction system, method and motion training system, which are used to solve the existing depth camera

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  • Three-dimensional human body action reconstruction system and method and action training system
  • Three-dimensional human body action reconstruction system and method and action training system
  • Three-dimensional human body action reconstruction system and method and action training system

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[0041] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

[0042] Please refer to figure 1 , figure 1 This is a schematic structural diagram of a three-dimensional human body motion reconstruction system provided in an embodiment of this application. The three-dimensional human body motion reconstruction system provided in an embodiment of this application includes:

[0043] The camera calibration module 101 ...

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Abstract

The invention discloses a three-dimensional human body action reconstruction system and method and an action training system. The method comprises: capturing an action image of the target human body through the corrected binocular vision-based binocular camera; carrying out two-dimensional human body articulation point identification on the action image on a two-dimensional image; reconstructing three-dimensional articulation points of the target human body based on binocular stereoscopic vision and the two-dimensional human body articulation points. Therefore, the three-dimensional action ofthe target human body is reconstructed. A depth map is generated without complex graphic transformation; errors caused by a depth change process can be avoided. According to the human body three-dimensional action recognition method, the situation that objects around the target human body are mistakenly recognized as one part of the target human body is avoided, the requirement for an applicationscene is lowered, and the technical problems that an existing depth camera human body three-dimensional action recognition method is high in requirement for the application scene and low in recognition accuracy in a complex application scene are solved.

Description

technical field [0001] The present application relates to the technical field of motion recognition, in particular to a three-dimensional human motion reconstruction system, method and motion training system. Background technique [0002] With the development of artificial intelligence, human body posture recognition technology has made important breakthroughs on the basis of larger data sets and powerful computing capabilities available in the era of big data. [0003] The existing 3D human motion recognition method is to use a depth camera to capture the 3D motion of the human body, and then evaluate whether the motion meets the standards. The method of using the depth camera to capture the 3D motion of the human body uses near-infrared light to cover and irradiate the view range to be tested, and Calculate the time difference or phase difference between near-infrared light emission and emission, and convert the distance of each point of the target to be measured, so as to...

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Application Information

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IPC IPC(8): G06T17/00G06T7/80G06F17/16G06N3/04G06N3/08
CPCG06T7/85G06T17/00G06F17/16G06N3/08G06N3/045
Inventor 梁鑫李培杰杜钦涛张炜乐樊奕良李烁
Owner GUANGDONG UNIV OF TECH
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