Multi-Kinect-based human body gesture data fusion method

A technology of data fusion and human body posture, applied in image data processing, instrumentation, computing, etc., can solve problems such as missing, interfering with bone data jumping posture, etc.

Inactive Publication Date: 2015-09-23
XIAN UNIV OF TECH
View PDF2 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a human body posture data fusion method based on multiple kinects, which solves the problem that when the existing kinect extracts human skeleton information, the disturbed skeleton data jumps or the posture is missing when self-occlusion occurs

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
  • Multi-Kinect-based human body gesture data fusion method
  • Multi-Kinect-based human body gesture data fusion method
  • Multi-Kinect-based human body gesture data fusion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] A kind of human body posture data fusion method based on many kinects of the present invention, specifically implement according to the following steps:

[0044] Step 1, build a data acquisition system:

[0045] like figure 1 As shown, two kinects are placed orthogonally so that they face the shooting area 3. The shooting area 3 is determined by the shooting areas of the two kinects. kinect1 1 and kinect 2 2 are connected to computer a4 and computer b5 respectively, and computer a4 is connected to computer b5 A local area network is established between the connections for data transfer.

[0046] By default, computer a is the main processor. When the system is running, computer b will send the pose skeleton data detected by Kinect 2 to computer a through the local area network in real time, and computer a will also get the pose skelet...

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 multi-Kinect-based human body gesture data fusion method. A data collection system which contains multiple pieces of Kinect is constructed to collect human body gesture bone information, data fusion and data prediction are independently carried out by aiming at a category of collected information so as to obtain the integral human body gesture bone information, and the problem of incomplete detection bone data due to the jump of bone data since the Kinect is interfered or posture deficiency caused by the self occlusion of a figure can be avoided so as to bring convenience for posture recognition, human-computer interaction, virtual reality and the like in post processing.

Description

technical field [0001] The invention belongs to the technical field of human body posture detection and posture recognition, and relates to a multi-kinect-based human body posture data fusion method. Background technique [0002] With the development of the times, there are more and more ways of human-computer interaction. It is not only possible to communicate through language, but body language is also an indispensable part. A branch of the field of computer vision is to study the specific meaning of human behavior and posture. However, to understand human behavior and posture, we must first obtain the specific posture of the person. The conventional method is to use an ordinary camera, and then use pattern recognition to analyze and recognize the silhouette of the person in the video, but the accuracy of this method is still not enough to meet the human-computer requirements. Interactive needs. [0003] Under this application requirement, Kinect came into being as the ti...

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): G06T7/20
CPCG06T7/251G06T7/285G06T2207/10021G06T2207/30196
Inventor 朱虹卫永波谢凡凡权甲
Owner XIAN UNIV OF TECH
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