Development of an occupancy measurement system for micro-zones within open office spaces based on multi-view multi-person 3D pose estimation

Chen, Sihua; Fukuda, Tomohiro; Yabuki, Nobuyoshi

Journal of Building Engineering, 2025, 111, 113037

Number of Access:33（2025-10-09 09:49 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/102617

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Title
Development of an occupancy measurement system for micro-zones within open office spaces based on multi-view multi-person 3D pose estimation
Creator
CreatorName
Chen, Sihua
NRID
1000080379114 1000080379114
ORCID
0000-0002-4271-4445 0000-0002-4271-4445
researchmap permalink
tomohirofukuda tomohirofukuda
Scopus Author ID
57211973503 57211973503
CreatorName
Fukuda, Tomohiro
NRID
1000050312434 1000050312434
CreatorName
Yabuki, Nobuyoshi
Subject
3D pose estimation
Functional zones
Multi-camera calibration
Occupancy measurement
Open office spaces
Description
Chen S., Fukuda T., Yabuki N.. Development of an occupancy measurement system for micro-zones within open office spaces based on multi-view multi-person 3D pose estimation. Journal of Building Engineering 111, 113037 (2025); https://doi.org/10.1016/j.jobe.2025.113037.
Abstract
A micro-zone constitutes the fundamental unit of open spaces. Occupancy information of micro-zones with functional attributes is critical for layout optimization, space management, and energy control in open-plan workplaces. However, existing occupancy measurement methods predominantly focus on macro-scales and commonly suffer from reliance on additional devices, rigid behavioral constraints, and limited access to authentic human occupancy data. To address these limitations and bridge the gap in micro-scale occupancy analysis, this study proposes a design framework for occupancy measurement systems to investigate functional zone utilization in open office spaces. The framework takes multi-view RGB images as input, applies 3D pose estimation to infer spatial positions of human joints, and further determines the occupancy state and metrics of the entire space and functional zones by analyzing overlap between projected joint coordinates and zone boundaries. To evaluate the feasibility of the framework, a prototype system is developed and deployed in a small-scale open office space, achieving a Precision of 100 % and an F1 score of 89.19 % in occupancy state measurement. These results demonstrate that the framework effectively supports occupancy surveys of functional zones and holds potential for real-world application. This study presents a low-cost, multi-scale occupancy measurement approach that innovatively introduces pose estimation technology into building occupancy investigation. While enabling holistic spatial occupancy perception, it fills the gap in functional zone analysis. This work provides a theoretical foundation for the development of CCTV-based occupancy measurement methods and offers data support for decision-making in the sustainable design and operation of indoor open office environments.
Publisher
Elsevier Ltd
Source Title
Journal of Building Engineering
Volume (Issue)
111
Page
113037
Date of Issued
2025-06-25
Language
English
Handle URL
https://hdl.handle.net/11094/102617
eISSN
23527102
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1016/j.jobe.2025.113037
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version
Version of Record
Category
学術雑誌論文 Journal Article