FIRESENSE database of videos for flame and smoke detection
<p>The FIRESENSE database, developed within the FP7-ENV-244088<br> ''FIRESENSE - Fire Detection and Management through a Multi-Sensor Network for<br> the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme<br> Weather" project contains videos for testing flame and smoke detection algorithms.</p> <p>Specifically:</p> <p>a) for flame detection 11 positive and 16 negative videos are provided, while</p> <p>b) for smoke detection, 13 positive and 9 negative videos are provided.</p> <p>Results using this database are presented in many papers, including:</p> <ol> <li><strong>K. Dimitropoulos, P. Barmpoutis, N. Grammalidis, </strong>"<em>Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection</em>", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 25, No. 2, February 2015, pp. 339-351.</li> </ol> <p> </p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4