数据集:使用垂直安装的深度传感器的占用检测,跟踪和估计

F. Flores, Sirajum Munir, Matias Quintana, Anand P. Krishnan, M. Berges
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引用次数: 7

摘要

占用检测、跟踪和估计具有广泛的应用,包括提高建筑能源效率、安全性和居住者的保障。随着深度传感器变得越来越便宜,它们提供了一种可行的解决方案,可以以不侵犯隐私的方式准确估计占用率。即使有公开可用的深度数据集,他们也没有考虑将传感器放置在天花板上向下看,以估计占用率。2017年,我们在四个CMU教室和会议室中部署了四个XBOX One的Kinect,为期四周,收集了超过6tb的深度数据。我们通过标记占用者周围的边界框来注释这个庞大的数据集,并释放注释过的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor
Occupancy detection, tracking, and estimation has a wide range of applications including improving building energy efficiency, safety, and security of the occupants. As depth sensors are getting cheaper, they offer a viable solution to estimate occupancy accurately in a non-privacy invasive manner. Even though there are publicly available depth datasets, they do not consider placing the sensor in the ceiling looking downwards to estimate occupancy. We deployed four Kinect for XBOX One in four CMU classrooms and conference rooms for a period of four weeks in 2017 and collected over 6 TB of depth data. We annotate this huge dataset by labelling bounding boxes around occupants and release the annotated dataset.
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