Driving Assistance systems and Automated Driving systems are going to become crucial technologies in the next years to increase people’s safety. This thesis is part of a project born from the collaboration between Centro Ricerche Fiat (also known as CRF and part of FCA group) and Politecnico di Torino to find a reliable tool to analyze pedestrians’ movement and to predict their future positions. This is a very difficult task, because pedestrians’ movements are guided from a multitude of elements (the environment, nearby pedestrians, elements on the sidewalks and so on...) and are not easily predictable, even from another human. This project aims to detect pedestrians on a total field of view of 360° around the car using a multi-camera setup, to track them and, lastly, be able to predict their trajectories after some seconds of observation.