Our research activity investigates the computational processes underlying the execution of complex sequences of movements and aims at understanding how different levels of the nervous system interact and contribute to the ...

Intelligent Transportatin Systems have gained a great importance in the last decades given the growing need for security in many public environments, with particular attention for traffic scenarios, which are daily interested ...

In the last decades we have assisted to a growing need for security in many public environments. According to a study recently conducted by the European Security Observatory, one half of the entire population is worried ...

Collections of handwritten documents of historical interest are often small, ranging from a few dozen to a few hundred pages, but they may have features typical of the collection itself which make them interesting for ...

Social robots are a particular category of robots able to perceive in- formation about the environment to reason about the acquired infor- mation with the particular aim to interact with humans. Remarkable applications ...

Negli ultimi anni, la crescente attenzione nei confronti della sicurezza in luoghi pubblici e privati ha portato la comunità scientifica ad esercitare un considerevole sforzo finalizzato a fornire efficaci sistemi di ...

This research work has been produced with the aim of performing gender recognition in real-time on face images extracted from real video sequences. The task may appear easy for a human, but it is not so simple for a computer ...

How the brain controls movement is a question that has fascinated researchers from different areas as neuroscience, robotics and psychology. To understand how we move is not only an intellectual challenge, but it is important ...

In this thesis we introduce a new software platform for the development of real-time video analysis applications, that has been designed to simplify the realization and the deployment of intelligent video-surveillance sy ...

The following thesis deals with computational models of nervous system employed in motor reinforcement learning. The novel contribution of this work is that it includes a methodology of experiments for evaluating learning ...