Motion capture method for binocular vision image based on background modeling

A technology of binocular vision and background modeling, which is applied in the field of background segmentation and motion capture, and can solve problems such as difficulties in the motion capture process

Inactive Publication Date: 2013-01-02
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These factors make the process of motion capture more difficult

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
  • Motion capture method for binocular vision image based on background modeling
  • Motion capture method for binocular vision image based on background modeling
  • Motion capture method for binocular vision image based on background modeling

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings, and the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0023] The operation process of a motion capture method based on background modeling is further illustrated by an example below.

[0024] All the codes in this example are written in C++ and run in the Microsoft visual studio 2005 environment. Other software and hardware conditions can also be used, so I won’t repeat them here.

[0025] Figure 1A It shows the overall flowchart of the motion capture method for binocular vision images based on background modeling in the present invention.

[0026] The present invention is based on background modeling to the motion capture method of binocular vision image, based on binocular vision and background segmentation, its method comprises steps as follows:

[0027] Step S1: Fix the posi...

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 motion capture method for a binocular vision image based on background modeling. By the method, a human body serving as a foreground can be divided and the upper torso of the human body is subjected to motion capture simultaneously so as to achieve the effect of man-machine interaction. The method comprises the following steps of: on the basis of background modeling, establishing a Gaussian model for a clean background acquired by a camera, comparing an acquired video with a background model, providing a probability value which belongs to the foreground or the background for each pixel of a scene through depth information acquired by a binocular camera, and dividing the foreground and the background of the scene through an image cutting algorithm. When the divided foreground is the upper torso of the human body, a basic skeleton model of the human body is acquired by refining a foreground profile, de-noising and determining a key point so as to complete the motion capture process.

Description

technical field [0001] The invention belongs to the field of computer vision technology and digital interactive entertainment, and relates to a background segmentation and motion capture process completed by using a binocular camera and background modeling technology. Background technique [0002] Motion capture technology refers to the use of computer vision or other means to capture the movement of the human body in real time and accurately. With the development of computer software and hardware and the improvement of computer users' needs, the role of motion capture technology in digital entertainment, video surveillance, motion analysis and other fields has become more and more obvious. [0003] However, the development of motion capture technology is also restricted by various conditions and there are many limitations. For example, changes in light, complex backgrounds, and occlusion during motion. These factors make the process of motion capture more difficult. Howe...

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 Patents(China)
IPC IPC(8): G06T7/20G06K9/00G06F3/01
Inventor 王阳生时岭
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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