FIRESENSE database of videos for flame and smoke detection

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:

1. 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.