Detail výsledku
Deep Convolutional Neural Network for Fire Detection
GÖTTHANS, J.; GÖTTHANS, T.; MARŠÁLEK, R. Deep Convolutional Neural Network for Fire Detection. In 2020 30th International Conference Radioelektronika (Radioelektronika). 2020. p. 1-6. ISBN: 978-1-7281-6469-4.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Götthans Jakub, Ing., UREL (FEKT)
Götthans Tomáš, doc. Ing., Ph.D., REL-SIX (FEKT), UREL (FEKT)
Maršálek Roman, prof. Ing., Ph.D., REL-SIX (FEKT), UREL (FEKT)
Götthans Tomáš, doc. Ing., Ph.D., REL-SIX (FEKT), UREL (FEKT)
Maršálek Roman, prof. Ing., Ph.D., REL-SIX (FEKT), UREL (FEKT)
Abstrakt
Detection of smoke and fire using deep convolutional neural network to process video signals from camera.
Klíčová slova
Fire Detection, Convolutional Neural Network, Surveillance
Rok
2020
Strany
1–6
Sborník
2020 30th International Conference Radioelektronika (Radioelektronika)
Konference
30th International Conference Radioelektronika 2020
ISBN
978-1-7281-6469-4
DOI
UT WoS
000610803200025
EID Scopus
BibTeX
@inproceedings{BUT164206,
author="Jakub {Götthans} and Tomáš {Götthans} and Roman {Maršálek}",
title="Deep Convolutional Neural Network for Fire Detection",
booktitle="2020 30th International Conference Radioelektronika (Radioelektronika)",
year="2020",
pages="1--6",
doi="10.1109/RADIOELEKTRONIKA49387.2020.9092344",
isbn="978-1-7281-6469-4"
}
Pracoviště
Ústav radioelektroniky
(UREL)