Bio-inspired connectionist architecture for visual detection and refinement of shapes

Abstract

In this paper we propose a bio-inspired architecture for the visual reconstruction of silhouettes of moving objects, based on the behaviour of simple cells, complex cells and the Long-Range interactions of these neurons present in the primary visual cortex of the primates. This architecture was tested with real sequences of images acquired in natural environments. The results combined with our previous results show the flexibility of our propose since it allows not only to reconstruct the silhouettes of objects in general, but also, allows to distinguish between different types of objects in motion. This distinction is necessary since our future objective is the identification of people by their gait. © 2009 Springer Berlin Heidelberg.