Kare Koplík, Peter Janků, Olga Vozniuk, Tomáš Dulík, Petr Snopek, "Real-Time Fire Detection in Camera Stream Using Statistical Analysis," WSEAS Transactions on Environment and Development, vol. 13, pp. 387-393, 2017, DOI:
Kare Koplík, Peter Janků, Olga Vozniuk, Tomáš Dulík, Petr Snopek. Real-Time Fire Detection in Camera Stream Using Statistical Analysis.
WSEAS Transactions on Environment and Development. 2017;13:387-393.
WSEAS Transactions on Environment and Development
Print ISSN: 1790-5079, E-ISSN: 2224-3496
Volume 13, 2017
Real-Time Fire Detection in Camera Stream Using Statistical Analysis
Authors: , , , ,
Abstract: The paper describes a new algorithm designed to be fast and efficient for detecting fire. It is based on finding and investigating suspicious regions in each frame of video stream. The investigation consists of tracking regions across frames and performing statistical analysis on their trajectory. If the trajectory has characteristic similar to fire, a test on persistence is performed. If the fire-like characteristics persists, the alarm is triggered. This criterion enables to eliminate a large proportion of false alarms. Given it’s simplicity, the algorithm can be used separately in some environments and can improve existing algorithms as well.
Pages: 387-393 WSEAS Transactions on Environment and Development, ISSN / E-ISSN: 1790-5079 / 2224-3496, Volume 13, 2017, Art. #40 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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