视觉跟踪:无锚区域基于视觉的室内跟踪

G. Tummala, Rupam Kundu, P. Sinha, R. Ramnath
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引用次数: 2

摘要

如果赋予智能设备分析视频馈送信息的能力,则可以提供高质量的定位服务。在本文中,我们的目标是通过使用移动智能摄像头(如谷歌眼镜和智能手机)提供跟踪服务,考虑以下三个目标:(1)无需额外部署,(2)无需用户端仪器或硬件升级,(3)易于在实践中采用。现有的基于射频或VLC的室内跟踪解决方案只能在用户视野中密集部署ap或VLC灯泡(锚点)时提供位置和方向。vision - track是第一个基于视觉的解决方案,即使在视线(LOS)内没有锚点,也可以在室内跟踪摄像机的位置和方向。在室内大学建筑中部署的Vision-Track定位精度中值为49厘米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-track: vision based indoor tracking in anchor-free regions
Smart-devices can render high quality location services when endowed with the ability to analyze information conveyed through video feed. In this paper, we aim to provide tracking services by using a mobile smart camera such as in google glasses and smartphones considering the following three objectives: (1) No additional deployment, (2) No user-side instrumentation or hardware upgrades, and (3) Easy adoption in practice. Existing RF or VLC based solutions for indoor tracking can provide location and orientation only when there are dense deployments of APs or VLC bulbs (anchor points) in user's field of view. Vision-Track is the first vision based solution that can track the camera's location and orientation indoors even when no anchor point is in line-of-sight (LOS). Vision-Track deployed in an indoor college building provides a median localization accuracy of 49 cm.
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