基于线性模型拟合的人体步态跟踪

First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06) Pub Date : 2006-06-20 DOI:10.1109/IMSCCS.2006.76

Zhihui Li, Fenggang Huang

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引用次数: 2

摘要

提出了一种通过线性模型拟合确定人体运动关节角参数的人体步态跟踪方法。首先设计人体三维模型，然后根据模型部件对应的轮廓计算关节角度。该方法将人体的三维模型与图像中的轮廓信息相结合，得到人体的关节角度。它比其他同类方法更准确、更快。本文给出了实验结果和应用中遇到的问题的解决方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Human Gait Tracking Based on Linear Model Fitting

This paper presents a method of human gait tracking, which determines the parameters - joint angles of human motion by linear model fitting. First a 3D model of human body is designed then the joint angles are computed according to the contour corresponding to the model components. This method combines the 3D model of human body and contour information in images to get the joint angles of human body. It is more accurate and faster than the other methods of same kind. This paper gives the experimental results and the solutions to the problems met in the application

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First International Multi-Symposiums on Computer and Computational Sciences (IMSCCS'06)

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