A Proposal for a Homeostasis Based Adaptive Vision System
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.
KeywordsMobile Robot Camera Parameter White Balance Homeostatic Regulation Computer Vision Application
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- 2.Hsiang, K., Kheng, W., Ang, M.: Integrated planning and control of mobile robot with self-organizing neural network. In: 18th IEEE Int. Conference on Robotics and Automation, Washington DC, pp. 3870–3875 (2002)Google Scholar
- 3.Aloimonos, J.Y.: Introduction: Active vision revisited. In: Aloimonos, J.Y. (ed.) Active Perception, Lawrence Erlbaum Assoc. Pub, New Jersey (1993)Google Scholar
- 4.D’Ambrosio, B.: Resource bounded-agents in an uncertain world. In: Proc. of the Workshop on Real-Time Artificial Intelligence Problems, Detroit, MI, USA (1989)Google Scholar
- 6.Zilberstein, S.: Using anytime algorithms in intelligent systems. AI Magazine 17, 73–83 (1996)Google Scholar
- 7.Liu, J., Lin, K., Bettati, R., Hull, D., Yu, A.: Use of Imprecise Computation to Enhance Dependability of Real-Time Systems, pp. 157–182. Kluwer Academic Publishers, Dordrecht (1994)Google Scholar
- 9.Picard, R.W.: Affective Computing. The MIT Press, Cambridge (1997)Google Scholar
- 11.Lorenzo, J., Castrillón, M., Hernández, M., Déniz, O.: Introduction of homeostatic regulation in face detection. In: Fred, A. (ed.) Proceedings of the 4th International Workshop on Pattern Recognition in Information Systems, PRIS 2004, Porto (Portugal), pp. 5–14 (2004)Google Scholar
- 13.Nanda, H., Cutler, R.: Practical calibrations for a real-time digital onmidirectional camera. In: Proceedings of the Computer Vision and Pattern Recognition Conference, CVPR 2001 (2001)Google Scholar