In this paper we propose a virtual environment for the creation of synthetic wildfire smoke frame sequences, able to simulate a distant smoke plume and to integrate it with an existing frame sequence. This work provides a virtual tool to measure the accuracy of existing image-based wildfire smoke detection systems without the need to produce real smoke and fires in the environments. The proposed algorithm uses a cellular model driven by the rules of propagation and collision to simulate the basic physical principles of advection, diffusion, buoyancy, and the response to external forces (such as the wind). Adverse environmental conditions like fog and low-light are also simulated, together with the introduction of noise in order to reproduce acquisition defects. The resulting frame sequences are then evaluated by using a smoke detection system, which shows that our method for virtual smoke simulation gives results comparable to real situations. The extracted data can then be used to increase the performance of smoke detection systems when few real data are available.

Virtual environment for synthetic smoke clouds generation / A. Genovese, R. Donida Labati, V. Piuri, F. Scotti - In: VECIMS[s.l] : Institute of Electrical and Electronics Engineers (IEEE), 2011 Oct. - ISBN 9781612848884. - pp. 1-6 (( convegno International Conference on Virtual Environments Human-Computer Interfaces and Measurement System tenutosi a Ottawa (Canada) nel 2011 [10.1109/VECIMS.2011.6053841].

Virtual environment for synthetic smoke clouds generation

A. Genovese;R. Donida Labati;V. Piuri;F. Scotti
2011-10

Abstract

In this paper we propose a virtual environment for the creation of synthetic wildfire smoke frame sequences, able to simulate a distant smoke plume and to integrate it with an existing frame sequence. This work provides a virtual tool to measure the accuracy of existing image-based wildfire smoke detection systems without the need to produce real smoke and fires in the environments. The proposed algorithm uses a cellular model driven by the rules of propagation and collision to simulate the basic physical principles of advection, diffusion, buoyancy, and the response to external forces (such as the wind). Adverse environmental conditions like fog and low-light are also simulated, together with the introduction of noise in order to reproduce acquisition defects. The resulting frame sequences are then evaluated by using a smoke detection system, which shows that our method for virtual smoke simulation gives results comparable to real situations. The extracted data can then be used to increase the performance of smoke detection systems when few real data are available.
adverse environmental conditions ; cellular model ; image-based wildfire smoke detection systems ; synthetic smoke clouds generation ; synthetic wildfire smoke frame sequences ; virtual environment ; virtual smoke simulation; image sequences ; object detection ; smoke ; virtual reality
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Institute of Electrical and Electronics Engineers (IEEE)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/168134
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