Industrial, Environmental and Biometric Informatics Laboratory
Università degli Studi di MilanoDepartment of Computer Science
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