five

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://zenodo.org/record/3404203
下载链接
链接失效反馈
官方服务:
资源简介:
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.  A sample of the dataset can be found here: https://doi.org/10.5281/zenodo.3457385
创建时间:
2020-01-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作