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.


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.

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저자 Chris Gorgolewski
최종 업데이트 5월 2, 2021, 06:41 (UTC)
생성됨 5월 2, 2021, 06:41 (UTC)
kaggle_id 501020
kaggle_lastUpdated 2020-02-04T19:20:54.94Z
kaggle_ref chrisfilo/firesense