Abstract
We propose the multiresolution recurrekt neural network to learn behavior b d on view and action. Recurrent neural network structure has the multiresolution channel to establish between the view and the action. It is difficult to learn action using only a image generally. We solve this problem by using the 3 kinds of image on the frequency. We control the rnultiresolution vision using Genetic Algorithm. The action sequences is acquired by the pan-tilt camera.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
L. Steels,: The Artificial Life Roots of Artifitial Intelligence, Journal of Artificial Life, Vol. 1, No. 1/2, pp. 75–110, MIT Press (1994)
R. Brooks,: A Robust Layered Control System for a Mobile Robot, IEEE J. Robotics and Automation, Vol. RA-2, pp. 14–23 (1986)
J. J. Gibson,: The ecological approach to visual perception, Roughton MMin, (1979)
H. R. Wilsan and S. C. Giese,: Threshold visibility of frequency gradient patterns, Vision Research, 17, pp. 1177–1190 (1977
H. R. Wilson and J. R. Bagen,: A four mechanism model for spatial vision, Vision Research, 17, pp. 1177–1190 (1977)
R. M. Downs and D. Stea,: Maps in mind, New York: Harper & Row, (1977)
D. E. Rumelhart, G. E. Hinton and R. J. Williams,: Learning internal represcntations by error propagation, in eds D.E. Rumchart and J.L. McClelland, Parallel Distributed Processing, MIT Press, pp. 318–362 (1986)
J. J. Koenderink,: The structure of images, Biological Cybernetics, Vol. 50, pp. 363–370 (1984)
A. P. Witkin,: Scale-space filtering, Int. Joint Conf. Art. Intelligence, pp. 1019–1021 (1983).
R. Thorn,: Structural Stablity and Morphogenesis, W. A. Benjamin, Inc. (1976)
D. Marr,: Vision, W.FI.Freeeman and Company, (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Morits, S. (1999). Learning Behavior Using Mult iresolution Recurrent Neural Network. In: Solina, F., Leonardis, A. (eds) Computer Analysis of Images and Patterns. CAIP 1999. Lecture Notes in Computer Science, vol 1689. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48375-6_20
Download citation
DOI: https://doi.org/10.1007/3-540-48375-6_20
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66366-9
Online ISBN: 978-3-540-48375-5
eBook Packages: Springer Book Archive