Single-Pixel Thermopile Infrared Sensing for People Counting

Erik Hagenaars, Ashish Pandharipande, Abhishek Murthy, Geert Leus

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
34 Downloads (Pure)

Abstract

People-counting data can be used in building-control systems to improve comfort and in space management applications to optimize building space. In this work, we consider a combi-sensor with a single-pixel thermopile and passive infrared sensor for people counting. We first develop a thermopile signal model for object temperature measurements under multiple people occupancy. We then propose a people counting method based on: cumulative sum (CUSUM) change detection in the object temperature signal, forming a people count estimate using likelihoods of differential mean temperature in detected changes, and decision fusion with an infrared vacancy sensor. The proposed method is evaluated with data generated using the developed signal model as well as experimental data from a cell office/meeting room environment. We obtain an average counting error of 0.11 and 0.19 for 90% of the instants respectively when considering 15 minute windows for simulated and experimental datasets.
Original languageEnglish
Article number9217590
Pages (from-to)4866-4873
Number of pages8
JournalIEEE Sensors Journal
Volume21
Issue number4
DOIs
Publication statusPublished - 2021

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Single pixel thermopile sensor
  • change detection
  • infrared sensing
  • people counting
  • temperature model

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