A database of elementary human movements collected with RGB-D type camera

Karolina Galinska, Piotr Luboch, Konrad Kluwak, M. Bieganski
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引用次数: 4

Abstract

This paper describes implementation of gait recognition that consists of two parts - capturing motion and data analysis. It introduces the process of building database of elementary human movements and explains the choice of BVH recording format. Besides filtering, three different methods of data analysis have been applied - Fourier transform, harmonic analysis and integral computing. Finally, it shows a broad spectrum of gait recognition practical application possibilities.
RGB-D型摄像机采集的人体基本动作数据库
本文介绍了一种步态识别的实现方法,该方法由动作捕捉和数据分析两部分组成。介绍了人体基本动作数据库的建立过程,说明了BVH记录格式的选择。除滤波外,还应用了三种不同的数据分析方法——傅里叶变换、谐波分析和积分计算。最后,它显示了广泛的步态识别实际应用的可能性。
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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