go back

An Integrated System for Incremental Learning of Multiple Visual Categories

Stephan Kirstein, Heiko Wersing, Horst-Michael Groß, Edgar Körner, "An Integrated System for Incremental Learning of Multiple Visual Categories", Proceedings of the International Conference on Neural Information Processing (ICONIP), 2008.

Abstract

We present a biologically inspired vision system able to incrementally learn multiple visual categories by interactively presenting several hand-held objects. The overall system is composed of a foregroundbackground separation part, several feature extraction methods and a life-long learning approach combining incremental learning with category specific feature selection. In contrast to most visual categorization approaches where typically each view is assigned to a single category we allow labeling with an arbitrary number of shape and color categories and also impose no restrictions to the viewing angle of presented objects.



Download Bibtex file Download PDF

Search