FIRESENSE
Classification
Action/Event Detection
|...
许可协议: CC BY 4.0

Overview

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.

Citation

@misc{Grammalidis_Dimitropoulos_Cetin_2017,
   title={Firesense Database Of Videos For Flame And Smoke Detection},
   DOI={10.5281/zenodo.836748},
   publisher={Zenodo},
   author={Grammalidis, Nikos and Dimitropoulos, Kosmas and Cetin, Enis},
   year={2017}}

License

CC BY 4.0

数据概要
数据格式
Video,
数据量
--
文件大小
782.27MB
发布方
Nikos Grammalidis
PhD on Electrical and Computer Engineering @Centre for Research and Technology, Hellas · Information Technologies Institute (ITI)
数据集反馈
| 145 | 数据量 -- | 大小 782.27MB
FIRESENSE
Classification
Action/Event Detection
许可协议: CC BY 4.0

Overview

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.

Citation

@misc{Grammalidis_Dimitropoulos_Cetin_2017,
   title={Firesense Database Of Videos For Flame And Smoke Detection},
   DOI={10.5281/zenodo.836748},
   publisher={Zenodo},
   author={Grammalidis, Nikos and Dimitropoulos, Kosmas and Cetin, Enis},
   year={2017}}

License

CC BY 4.0

数据集反馈
0
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