A System for Continuous Learning of Visual Concepts
International Conference on Computer Vision Systems ICVS 2007, 2007
We present an artifficial cognitive system for learning visual concepts. It comprises of vision, communication and manipulation sub- systems, which provide visual input, enable verbal and non-verbal com munication with a tutor and allow interaction with a given scene. The main goal is to learn associations between automatically extracted visual features and words that describe the scene in an open-ended, continuous manner. In particular, we address the problem of cross-modal learning of visual properties and spatial relations. We introduce and analyse several learning modes requiring different levels of tutor supervision.