A proposal for a homeostasis based adaptive vision system

Authors:
Javier Lorenzo-Navarro;Daniel Hernández;Cayetano Guerra;José Isern-González
Affiliations:
University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque Tecnológico, Las Palmas, Spain;University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque Tecnológico, Las Palmas, Spain;University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque Tecnológico, Las Palmas, Spain;University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque Tecnológico, Las Palmas, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Year:
2005

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Abstract

In this work an approach to an adaptive vision system is presented. It is based on a homeostatic approach where the system state is represented as a set of artificial hormones which are affected by the environmental changes. To compensate these changes, the vision system is endowed with drives which are in charge of modifying the system parameters in order to keep the system performance as high as possible. To coordinate the drives in the system, a supervisor level based on fuzzy logic has been added. Experiments in both controlled and uncontrolled environments have been carried out to validate the proposal.