Predicting future crowd motion including event treatment

Abstract

Crowd simulation has become an important area, mainly in entertainment and security applications. In particular, this area has been explored in safety systems to evaluate environments in terms of people comfort and security. In general, the evaluation involves the execution of one or more simulations in order to provide statistical information about the crowd behavior in a certain environment. Real-time applications can also be desirable, for instance in order to estimate the crowd behavior in a near future knowing the current crowd state, aiming to anticipate a potential problem and prevent it. This paper presents a model to estimate crowd behaviors in a future time, presenting a good compromise between accuracy and running time. It also presents a new error measure to compare two crowds based on local density.