A Proposal for a Homeostasis Based Adaptive Vision System

  • Javier Lorenzo-Navarro
  • Daniel Hernández
  • Cayetano Guerra
  • José Isern-González
Conference paper

DOI: 10.1007/11492429_23

Volume 3522 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Lorenzo-Navarro J., Hernández D., Guerra C., Isern-González J. (2005) A Proposal for a Homeostasis Based Adaptive Vision System. In: Marques J.S., Pérez de la Blanca N., Pina P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Javier Lorenzo-Navarro
    • 1
  • Daniel Hernández
    • 1
  • Cayetano Guerra
    • 1
  • José Isern-González
    • 1
  1. 1.University of Las Palmas de Gran Canaria, Inst Univ. de Sistemas Inteligentes y Aplic. Num. en Ingeniería, Edif. Parque TecnológicoLas PalmasSpain