基于简单运动传感器阵列的运动目标室内位置估计

Ryo Ota, T. Hanyu, Qiangfu Zhao
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引用次数: 0

摘要

这项研究的目的是在保护隐私的同时估计人类在房间里的位置。我们之前的研究表明,包含多个红外传感器的传感器阵列可以识别人类的位置并保护隐私。然而,以前的位置估计是在固定的人类位置上进行的。在本文中,我们的目标是使估计更加真实,并估计和跟踪行走的人的位置。也就是说,我们要根据观测到的传感器数据D估计两个函数x(D)和y(D),其中(x, y)为位置坐标。实验结果表明,即使我们不使用帧间的相关性,估计的位置也能很好地跟随真实的人的位置。这也意味着,“跟踪”是可能使用一个相对较小和稀疏的传感器阵列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor Location Estimation of a Moving Subject Based on a Simple Motion Sensor Array
The purpose of this study is to estimate human location in a room while protecting privacy. Our previous studies have revealed that a sensor array containing several infrared sensors could recognize human locations and preserve privacy. However, the previous location estimations were conducted on stationary human locations. In this paper, we aim to make the estimation more realistic and to estimate and track the locations of a walking person. That is, we want to estimate two functions x(D) and y(D) based on the observed sensor data D, where (x, y) is the coordinate of the location. Experimental results show that the estimated locations follow the real human locations very well even though we do not use the correlation between frames. This also implies that "tracking" is possible using a relatively small and sparse sensor array.
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