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A VLSI-oriented and power-efficient approach for dynamic texture recognition applied to smoke detection

AuthorsFernández-Berni, J. CSIC ORCID CVN; Carmona-Galán, R. CSIC ORCID ; Carranza-González, L. CSIC
KeywordsSmoke detection
Dynamic texture recognition
Power-efficient VLSI implementation
Forest fire detection
Issue Date2009
CitationFourth International Conference on Computer Vision Theory and Applications (2009)
AbstractThe recognition of dynamic textures is fundamental in processing image sequences as they are very common in natural scenes. The computation of the optic flow is the most popular method to detect, segment and analyse dynamic textures. For weak dynamic textures, this method is specially adequate. However, for strong dynamic textures, it implies heavy computational load and therefore an important energy consumption. In this paper, we propose a novel approach intented to be implemented by very low-power integrated vision devices. It is based on a simple and flexible computation at the focal plane implemented by power-efficient hardware. The first stages of the processing are dedicated to remove redundant spatial information in order to obtain a simplified representation of the original scene. This simplified representation can be used by subsequent digital processing stages to finally decide about the presence and evolution of a certain dynamic texture in the scene. As an application of the proposed approach, we present the preliminary results of smoke detection for the development of a forest fire detection system based on a wireless vision sensor network.
DescriptionTrabajo presentado al IV VISAPP celebrado en Lisboa del 5 al 8 de febrero de 2009.
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Appears in Collections:(IMSE-CNM) Comunicaciones congresos

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