Dataset: Occupancy Presence and Trajectory Data from an Instrumented Public Building

Anooshmita Das*, Jens Hjort Schwee, Emil Stubbe Kolvig-Raun, Mikkel Baun Kjærgaard

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The ability to accurately estimate the presence and counts of occupants inside a monitored area has many notable and compelling applications, e.g., efficient space utilization, intelligent building operations, comfortable indoor environment, safety, and evacuation. Significant research on design approaches and methods have been implemented to extrapolate rich information on occupant behavior and actions. However, these methods are evaluated based on a subset of divergent data collected from heterogeneous sensing modalities available in instrumented public buildings. Comprehensive baseline datasets are lacking which can serve for benchmarking and performance comparison despite the potential inconsistencies. In this paper, we present a dataset collected from three 3D Stereo Vision Cameras for 13 full days, with a total of 5,485,350 readings and 1242 estimated occupants in the summer of 2019 from a public building. The dataset contains occupancy presence and trajectory data. The dataset can serve for benchmarking and foster data-driven research in occupant presence and behavior modeling. This dataset would help to extract the inter-relationships of different factors influencing occupant behavior and trajectory patterns. Furthermore, high fidelity information about actions can be extrapolated from the presented dataset.
Original languageEnglish
Title of host publicationDATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019
PublisherAssociation for Computing Machinery
Publication dateNov 2019
Pages43-46
ISBN (Print)978-1-4503-6993-0
DOIs
Publication statusPublished - Nov 2019
Event17th ACM Conference on Embedded Networked Sensor Systems - New York, United States
Duration: 10. Nov 201913. Nov 2019

Conference

Conference17th ACM Conference on Embedded Networked Sensor Systems
CountryUnited States
CityNew York
Period10/11/201913/11/2019

Keywords

  • Dataset
  • Occupancy Presence
  • Trajectories

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