Enhancing the detection performance of a vision-based occupancy detector for buildings
Author(s): |
Paige Wenbin Tien
(Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK)
Shuangyu Wei (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Tin Wai Chow (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Jo Darkwa (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) Christopher Wood (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) John Kaiser Calautit (Department of Architecture and Built Environment, Faculty of Engineering, University of Nottingham, Nottingham, UK) |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Proceedings of the Institution of Civil Engineers - Engineering Sustainability, 1 December 2023, n. 6, v. 176 |
Page(s): | 1-14 |
DOI: | 10.1680/jensu.22.00013 |
- About this
data sheet - Reference-ID
10689671 - Published on:
13/08/2022 - Last updated on:
14/01/2024