R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, Wildfire smoke detection using computational intelligence techniques enhanced with synthetic smoke plume generation, IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 43, no. 4, pp. 1003-1012, July 2013, ISSN 2168-2216.
Environmental informatics
Wildfire Smoke Detection
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.
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.
Relevant publications
A. Genovese, R. Donida Labati, V. Piuri, F. Scotti, Wildfire smoke detection using computational intelligence techniques, Proc. of the 2011 IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications (CIMSA 2011), pp. 1-6, Ottawa, ON, Canada, September 2011, ISSN 978-1-61284-924-9.
A. Genovese, R. Donida Labati, V. Piuri, F. Scotti, Virtual environment for synthetic smoke clouds generation, Proc. of the 2011 IEEE Int. Conf. on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2011), pp. 1-6, Ottawa, ON, Canada, September 2011, ISSN 978-1-61284-888-4.