An information theoretical approach to crowd simulation

Abstract

In this study, an information theory based framework to automatically construct analytical maps of crowd's locomotion, called behavior maps, is presented. For these behavior maps, two distinct use cases in crowd simulation domain are introduced; i) automatic camera control ii) behavioral modeling. The first use case for behavior maps is an automatic camera control technique to display interest points which represent either characteristic behavior of the crowd or novel events occurring in the scene. As the second use case, a behavioral model to control agents' behavior with agent-crowd interaction formulations is introduced. This model can be integrated into a crowd simulator to enhance its behavioral complexity and realism. © 2012 Springer-Verlag Berlin Heidelberg.