Smart space construction: Integration of robots in a visual sensor network

This paper presents an architecture of a smart space built with robots and distributed smart cameras connected via a network. We present a framework for tracking and recording presence of objects over a large space using vision as the basic sensing mechanism. A MAP based object identification scheme which works on Grassmannian manifold has been presented. Experimental results establish validity of the approach.