Overview
The FIRESENSE database, developed within the FP7-ENV-244088. ''FIRESENSE - Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather" project contains videos for testing flame and smoke detection algorithms.
Specifically: a) for flame detection 11 positive and 16 negative videos are provided, while b) for smoke detection, 13 positive and 9 negative videos are provided.
Results using this database are presented in many papers, including: K. Dimitropoulos, P. Barmpoutis, N. Grammalidis, "Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 25, No. 2, February 2015, pp. 339-351.
Citation
@misc{Grammalidis_Dimitropoulos_Cetin_2017,
title={Firesense Database Of Videos For Flame And Smoke Detection},
DOI={10.5281/zenodo.836748},
publisher={Zenodo},
author={Grammalidis, Nikos and Dimitropoulos, Kosmas and Cetin, Enis},
year={2017}}