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No-mark human body motion capture method

A human motion, markerless technology, applied in image data processing, instruments, 3D modeling, etc., can solve the problems of easily occluded markers, wearing cumbersome markers, and a large amount of calculation, achieving a wide range of applications. Applicability and easy operation

Inactive Publication Date: 2011-06-01
SHANGHAI JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

However, the marked human body motion capture method has its obvious shortcomings: 1. The price is very expensive; 2. The tested personnel need to wear bulky markers; 3. The markers are easily blocked
But this method requires a lot of calculations and is not stable

Method used

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  • No-mark human body motion capture method

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Embodiment Construction

[0020] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. The following examples are implemented on the premise of the technical solutions of the present invention, and detailed implementation methods and processes are given, but the protection scope of the present invention is not limited to the following examples.

[0021] The process flow of the markerless human body motion capture method of the present invention is as follows: figure 1 As shown, first obtain the 3D voxels of the human body surface, initialize the human skeleton model and match it with the voxel data of the first frame, and then start from the second frame, use the global optimization algorithm to track the human body movement, and use each voxel in the tracking process The overall classification distribution histogram classifies and marks which part of the body the voxel belongs to, extracts the three-dim...

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Abstract

The invention relates to a no-mark human body motion capture method; the method uses human surface three-dimensional voxel of human skeleton sleeve pattern tracing reconstruction, realizes right classification of voxel robustly and extracts articulation points automatically to get human motion parameter. The method comprises the following steps: (1) extracting three-dimensional voxel of human surface; (2) initializing human skeleton pattern and matching with a first frame voxel data; (3) using overall optimization algorithm to realize skeleton pattern tracing voxel data; (4) classifying the voxel based on overall classification distribution histogram of each voxel in tracing process; (5) extracting three-dimensional articulation points from classified voxels; and (6) getting articulation angle based on the coordinate of the articulation points and then getting human motion parameter. The invention has the advantages of easy implementation, relatively low cost, strong robustness and wide application and the like.

Description

technical field [0001] The invention relates to an unmarked human body motion capture method, which can be used in advanced human-computer interaction, athlete auxiliary training, video monitoring, virtual reality and the like. The invention belongs to the technical field of human motion analysis. Background technique [0002] Human body motion capture is the technology of obtaining various parameters of human body movement (such as the angle of each joint of the human body) from the video. The methods of human motion capture through multiple cameras can be divided into two categories: labeled human motion capture and unmarked human motion capture. Currently, the most widely used commercially is the labeled human motion capture method. B. Guerra-Filho published a paper in "Journal of Theoretical and Applied Information" in 2005: "Optical Motion Capture: Theory and Implementation (Optical Motion Capture: Theory and Implementation)" systematically introduced The theory and ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T17/00G06T7/292
Inventor 严骏驰刘剑刘允才
Owner SHANGHAI JIAOTONG UNIV
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