Data-Driven Animation of Crowds

Nicolas Courty (1) , Thomas Corpetti (2)

1 VALORIA - Laboratoire de Recherche en Informatique et ses Applications de Vannes et Lorient
2 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique

In this paper we propose an original method to animate a crowd of virtual beings in a virtual environment. Instead of relying on models to describe the motions of people along time, we suggest to use {\em a priori} knowledge on the dynamic of the crowd acquired from videos of real crowd situations. In our method this information is expressed as a time-varying motion field which accounts for a continuous flow of people along time. This motion descriptor is obtained through optical flow estimation with a specific second order regularization. Obtained motion fields are then used in a classical fixed step size integration scheme that allows to animate a virtual crowd in real-time. The power of our technique is demonstrated through various examples and possible follow-ups to this work are also described.

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]

Nicolas Courty, Thomas Corpetti. Data-Driven Animation of Crowds. Proc. of Mirage 2007 - Computer Vision / Computer Graphics Collaboration Techniques and Applications, May 2007, Paris, France. pp.377--388. ⟨hal-00494248⟩