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

Authors:

Fabricio Flores,

Sirajum Munir,

Matias Quintana,

Anand Krishnan Prakash,

Mario BergésAuthors Info & Claims

DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis

Pages 7 - 9

https://doi.org/10.1145/3359427.3361916

Published: 10 November 2019 Publication History

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Abstract

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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Cited By

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Munir SChen HFang SMonjur MLin SNirjon S(2023)CarFi: Rider Side Localization using Wi-Fi CSI2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS58611.2023.00072(530-538)Online publication date: 25-Sep-2023
https://doi.org/10.1109/MASS58611.2023.00072
Navarro RRuiz AMolina FRomero MChaparro JAlises DLopez J(2022)Indoor occupancy estimation for smart utilities: A novel approach based on depth sensorsBuilding and Environment10.1016/j.buildenv.2022.109406222(109406)Online publication date: Aug-2022
https://doi.org/10.1016/j.buildenv.2022.109406
Luo HLi SZhao Q(2021)Towards Silhouette-Aware Human Detection in Depth Images2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534347(1-8)Online publication date: 18-Jul-2021
https://doi.org/10.1109/IJCNN52387.2021.9534347
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Index Terms

Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor
1. Computer systems organization
  1. Embedded and cyber-physical systems
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor applications and deployments

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Information & Contributors

Information

Published In

DATA'19: Proceedings of the 2nd Workshop on Data Acquisition To Analysis

November 2019

71 pages

ISBN:9781450369930

DOI:10.1145/3359427

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2019

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Author Tags

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Short-paper
Research
Refereed limited

Funding Sources

U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy (EERE) under the Building Technologies Office

Conference

SenSys '19

Sponsor:

SenSys '19: The 17th ACM Conference on Embedded Networked Sensor Systems

November 10, 2019

NY, New York, USA

Acceptance Rates

DATA'19 Paper Acceptance Rate 16 of 21 submissions, 76%;

Overall Acceptance Rate 74 of 167 submissions, 44%

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Cited By

View all

Munir SChen HFang SMonjur MLin SNirjon S(2023)CarFi: Rider Side Localization using Wi-Fi CSI2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS58611.2023.00072(530-538)Online publication date: 25-Sep-2023
https://doi.org/10.1109/MASS58611.2023.00072
Navarro RRuiz AMolina FRomero MChaparro JAlises DLopez J(2022)Indoor occupancy estimation for smart utilities: A novel approach based on depth sensorsBuilding and Environment10.1016/j.buildenv.2022.109406222(109406)Online publication date: Aug-2022
https://doi.org/10.1016/j.buildenv.2022.109406
Luo HLi SZhao Q(2021)Towards Silhouette-Aware Human Detection in Depth Images2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534347(1-8)Online publication date: 18-Jul-2021
https://doi.org/10.1109/IJCNN52387.2021.9534347
Yuan YLiu KMunir SFrancis JShelton CLin S(2020)Leveraging Fine-Grained Occupancy Estimation Patterns for Effective HVAC Control2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)10.1109/IoTDI49375.2020.00016(92-103)Online publication date: Apr-2020
https://doi.org/10.1109/IoTDI49375.2020.00016
Clapes AJacques Junior JMorral CEscalera S(2020)ChaLearn LAP 2020 Challenge on Identity-preserved Human Detection: Dataset and Results2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)10.1109/FG47880.2020.00135(801-808)Online publication date: Nov-2020
https://doi.org/10.1109/FG47880.2020.00135

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