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Dynamic fire modeling using a real time stereovision system

Lucile Rossi and Moulay Akhloufi

Abstract - This work presents a new framework for three-dimensional modeling of dynamic fires present in unstructured scenes. The proposed approach addresses the problem of segmenting fire regions using information from YUV and RGB color spaces. Clustering is also used to extract salient points from a pair of stereo images. These points are then used to reconstruct 3D positions in the scene. A matching strategy is proposed to deal with mismatches due to occlusions and missing data. The obtained data are fitted in a 3D ellipsoid in order to model the enclosing fire volume. This form is then used to compute dynamic fire characteristics like its position, dimension, orientation, heading direction, etc. These results are of great importance for fire behavior monitoring and prediction.

Bibtex:

@inproceedings{and 802,
author    = { Lucile Rossi and Moulay Akhloufi },
title     = { Dynamic fire modeling using a real time stereovision system },
booktitle = { International Joint Conferences on Computer, Information, Systems Sciences, and Engineering 2008 (CISSE 2008) },
address   = { Bridgeport, CT, USA },
year      = { 2008 },
language  = { English }
}

Dernière modification: 2010/02/21 par akhloufi

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