Wildfire smoke detection
Link to source code (Matlab):
Smoke Simulation [GitHub]
Smoke Detection [GitHub]
The project aims to study, design and test a computer vision-based system for the detection of wildfire smokes. The main goals of the project are to achieve a robust and accurate detection system capable to adapt to different environmental situations, with the use of low-quality frame sequences and limited hardware power.
Since the availability of wildfire smoke footages is limited, the project includes also the design and development of a virtual environment for the generation of synthetic smoke clouds based on real frame sequences, in order to give the possibility to create a greater number of test and train sequences for the proposed system. Moreover, we collected information about available current datasets in order to fairly test and compare different algorithms.
The proposed smoke detection method
The smoke simulation method
Acknowledgements
The project is part of the initiative "ASEM - Adaptive Systems for Environmental Monitoring", contract Unimi per il Futuro - 5 per Mille 2009-ATE-0073, sponsored by Università degli Studi di Milano (University of Milan), coordinated by Prof. F. Scotti.
References
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R. Donida Labati, A. Genovese, V.
Piuri, F. Scotti, "Wildfire smoke detection using computational intelligence techniques enhanced with synthetic smoke plume generation", in IEEE Transactions on Systems, Man and Cybernetics: Systems, pp. 1003-1012, July, 2013. ISSN: 2168-2216. [DOI: 10.1109/TSMCA.2012.2224335][PDF]
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A. Genovese, R. Donida Labati, V.
Piuri, F. Scotti, "Wildfire smoke detection using computational intelligence techniques", in Proc. of the 2011 IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications (CIMSA 2011), Ottawa, ON, Canada, pp. 1-6, September 19-21, 2011. ISBN: 978-1-61284-924-9. [DOI: 10.1109/CIMSA.2011.6059930][PDF]
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A. Genovese, R. Donida Labati, V.
Piuri, F. Scotti, "Virtual environment for synthetic smoke clouds generation", in Proc. of the 2011 IEEE Int. Conf. on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2011), Ottawa, ON, Canada, pp. 1-6, September 19-21, 2011. ISBN: 978-1-61284-888-4. [DOI: 10.1109/VECIMS.2011.6053841][PDF]