Fire Detection Dataset

This collection of videos has been used in order to test our methods for fire and smoke detection. It is composed by 31 videos both acquired in real environments and downloaded from the web (here). The dataset can be seen as composed by two main parts: the first 14 videos characterized by the presence of the fire and the last 17 videos which do not contain any event of interest; in particular, this second part contains critical situations traditionally recovered as fire, such as red objects moving in the scene, smokes or clouds.

If you use these videos please cite:

• Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion.

  @ARTICLE{csvt2015_fire,
  title = {Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion},
  author = {Pasquale Foggia and Alessia Saggese and Mario Vento},
  year = {2015},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  }

• Improving fire detection reliability by a combination of videoanalytics.

  @INPROCEEDINGS{dilascio2014_fire,
  title = {Improving fire detection reliability by a combination of videoanalytics},
  author = {Rosario Di Lascio and Antonio Greco and Alessia Saggese and Mario Vento},
  year = {2014},
  booktitle = {International Conference on Image Analysis and Recognition (ICIAR)},
  }

In order to download the whole dataset click here.

If you have any problems, do not hesitate to contact us here.