People flow control using cellular automata and computer vision technologies

Abstract

The paper proposes an automatic fuzzy system to control in real time people flows in crowded scenes. An integration of cellular automata and computer vision technologies is envisaged to control the people flow in different conditions and in real time. An adaptive control paradigm has been adopted to manage real scenarios since they usually differ slightly from the theoretical ones. The proposed fuzzy control is not only simple, but it may incorporate measurements derived from both fast and accurate computer vision techniques and perceptions of people operating on the field. © 2012 Springer-Verlag GmbH.