Publication Details
Detecting and Locating People Using Low-Cost Thermal Imaging Camera
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
thermal imaging camera, people detection, people locating, filter
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.
@INPROCEEDINGS{FITPUB11772, author = "Michal Charv\'{a}t and Martin Drahansk\'{y}", title = "Detecting and Locating People Using Low-Cost Thermal Imaging Camera", pages = "41--51", booktitle = "Beitr{\"{a}}ge zum Usability Day XVI - Assistenztechnologien in der Arbeitswelt", year = 2018, location = "Dornbirn, AT", publisher = "Pabst Science Publishers", ISBN = "978-3-95853-405-6", language = "english", url = "https://www.fit.vut.cz/research/publication/11772" }