Video driven fire spread forecasting (f) using multi-modal LWIR and visual flame and smoke data

Author:

Verstockt Steven,Beji Tarek,De Potter Pieterjan,Van Hoecke Sofie,Sette Bart,Merci Bart,Van de Walle Rik

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference19 articles.

1. Beji, T., Verstockt, S., Van de Walle, R., Merci, B., 2011. Inverse zone modelling based numerical fire predictions using real time video and thermocouple information. In: Proc. 10th Internat. IAFSS, symposium.

2. Numerical Prediction of Compartment Fires using Real Time Video Analysis;Beji,2012

3. Beji, T., Verstockt, S., Van de Walle, R., Merci, B., 2012b. Prediction of smoke filling in large volumes by means of data assimilation based numerical simulations. Journal of Fire Sciences. http://dx.doi.org/10.1177/0734904112437845.

4. Calderara, S., Piccinini, P., Cucchiara, V., 2008. Smoke detection in video surveillance a mog model in the wavelet domain. In: Proc. 6th Internat. Conf. in Computer Vision Systems (ICVS). pp. 119–128.

5. Heskestad, G., 2002. Fire Plumes, Flame Height, and Air Entrainment, SPFE Handbook of Fire Protection, third ed. NFPA and SPFE.

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