Implementation of an intentional vision system to support cognitive architectures

An effective cognitive architecture has to be able to model, recognize and interpret user wills. The aim of the proposed framework is the development of an intentional vision system oriented to man-machine interaction. Such system will be able to recognize user faces, to recognize and tracking human postures by video cameras. It can be integrated in cognitive software architecture, and could be tested in several demonstrative scenarios such as domotics, or entrainment robotics, and so on. The described framework is organized on two modules mapped on the corresponding outputs to obtain: intentional perception of faces; intentional perception of human body movements. Moreover a possible integration of intentional vision module in a complete cognitive architecture is proposed.