PEM-ID:通过摄像头和可穿戴加速度计的步态匹配来识别人

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) Pub Date : 2009-10-20 DOI:10.1109/ICDSC.2009.5289412

Thiago Teixeira, Deokwoo Jung, G. Dublon, A. Savvides

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引用次数: 42

摘要

定位和识别多人的能力对于推断高层活动的知情决策至关重要。在本文中，我们描述了PEM-ID系统，该系统在预装的基础设施摄像机的视频输出中唯一地识别带有加速度计节点的人。为此，我们引入了一种新的由步态标志时间戳组成的信号之间的距离度量，并利用它通过将它们与可穿戴加速度计节点配对来识别视频中每个跟踪的人。

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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PEM-ID: Identifying people by gait-matching using cameras and wearable accelerometers

The ability to localize and identify multiple people is paramount to the inference of high-level activities for informed decision-making. In this paper, we describe the PEM-ID system, which uniquely identifies people tagged with accelerometer nodes in the video output of preinstalled infrastructure cameras. For this, we introduce a new distance measure between signals comprised of timestamps of gait landmarks, and utilize it to identify each tracked person from the video by pairing them with a wearable accelerometer node.

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来源期刊

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

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