Publication Details

Detecting and Locating People Using Low-Cost Thermal Imaging Camera

CHARVÁT, M.; DRAHANSKÝ, M. Detecting and Locating People Using Low-Cost Thermal Imaging Camera. Beiträge zum Usability Day XVI - Assistenztechnologien in der Arbeitswelt. Dornbirn: Pabst Science Publishers, 2018. p. 41-51. ISBN: 978-3-95853-405-6.
Czech title
Detekce a lokalizace osob pomocí laciné termokamery
Type
conference paper
Language
English
Authors
Charvát Michal, Ing.
Drahanský Martin, prof. Ing., Ph.D.
Keywords

thermal imaging camera, people detection, people locating, filter

Abstract

As we are approaching times of Industry 4.0 and smart homes, there is a need for automatic reliable mechanism for detecting living beings and there are many use casesfrom aiding elderly people with their everyday life to increasing safety in dangerous workplaces by guarding hazardous areas. We propose a method for counting and locating people using single low-cost thermal camera module and Raspberry Pi-like computer. This paper describes the process of necessary hardware configuration of the whole system and a software solution to the problem of detecting and locating people, which is based on applying human temperature filter, image processing with object detection using OpenCV and 3D scene reconstruction with known environment parameters. This approach even in its simplest form provides accuracy over 90 % on our data set with various possibilities for improvement.

Published
2018
Pages
41–51
Proceedings
Beiträge zum Usability Day XVI - Assistenztechnologien in der Arbeitswelt
ISBN
978-3-95853-405-6
Publisher
Pabst Science Publishers
Place
Dornbirn
BibTeX
@inproceedings{BUT155073,
  author="Michal {Charvát} and Martin {Drahanský}",
  title="Detecting and Locating People Using Low-Cost Thermal Imaging Camera",
  booktitle="Beiträge zum Usability Day XVI - Assistenztechnologien in der Arbeitswelt",
  year="2018",
  pages="41--51",
  publisher="Pabst Science Publishers",
  address="Dornbirn",
  isbn="978-3-95853-405-6",
  url="https://www.fit.vut.cz/research/publication/11772/"
}
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