Learning Behavior Using Multiresolution Recurrent Neural Network

Authors:
Satoru Morita
Affiliations:
-
Venue:
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Year:
1999

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Abstract

We propose the multiresolution recurreint neural network to learn behavior based 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 multiresolution vision using Genetic Algorithm. The action sequences is acquired by the pan-tilt camera.