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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.
video flame detection, video smoke detection
video flame detection, video smoke detection
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