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Authors: Jorge Fernandez-Berni ; Ricardo Carmona-Galán and Luis Carranza-González

Affiliation: Consejo Superior de Investigaciones Científicas y Universidad de Sevilla, Spain

ISBN: 978-989-8111-69-2

Keyword(s): Dynamic texture recognition, Power-efficient VLSI implementation, Smoke detection, Forest fire detection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The 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 t he 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. (More)

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Paper citation in several formats:
Fernandez-Berni J.; Carmona-Galán R.; Carranza-González L. and (2009). A VLSI-ORIENTED AND POWER-EFFICIENT APPROACH FOR DYNAMIC TEXTURE RECOGNITION APPLIED TO SMOKE DETECTION.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 307-314. DOI: 10.5220/0001766903070314

@conference{visapp09,
author={Jorge Fernandez{-}Berni and Ricardo Carmona{-}Galán and Luis Carranza{-}González},
title={A VLSI-ORIENTED AND POWER-EFFICIENT APPROACH FOR DYNAMIC TEXTURE RECOGNITION APPLIED TO SMOKE DETECTION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={307-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001766903070314},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A VLSI-ORIENTED AND POWER-EFFICIENT APPROACH FOR DYNAMIC TEXTURE RECOGNITION APPLIED TO SMOKE DETECTION
SN - 978-989-8111-69-2
AU - Fernandez-Berni, J.
AU - Carmona-Galán, R.
AU - Carranza-González, L.
PY - 2009
SP - 307
EP - 314
DO - 10.5220/0001766903070314

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