TOF imaging in Smart room environments towards improved people tracking

Sigurjón Árni Guðmundsson, R. Larsen, H. Aanæs, M. Pardàs, J. Casas
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引用次数: 52

Abstract

In this paper we present the use of time-of-flight (TOF) cameras in smart-rooms and how this leads to improved results in segmenting the people in the room from the background and consequently better 3D reconstruction of the people. A calibrated rig of one Swissranger SR3100 time-of-flight range camera and a high resolution standard camera is set in a smart-room consisting of 5 other standard cameras. A probabilistic background model is used to segment each view and a shape from silhouette 3D volume is constructed. It is shown that the presence of the range camera gives ways of eliminating regional artifacts and therefore a more robust input for higher level applications such people tracking or human motion analysis.
TOF成像在智能房间环境中改善人员跟踪
在本文中,我们介绍了在智能房间中使用飞行时间(TOF)相机,以及它如何改善将房间中的人从背景中分割出来的结果,从而更好地对人进行3D重建。由一台Swissranger SR3100飞行时间范围相机和一台高分辨率标准相机组成的校准平台设置在由5台其他标准相机组成的智能房间中。利用概率背景模型对每个视图进行分割,并从轮廓三维体中构造形状。研究表明,距离相机的存在提供了消除区域伪影的方法,因此为更高级别的应用提供了更强大的输入,例如人员跟踪或人体运动分析。
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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