Data-Driven Animation of Crowds
Nicolas Courty, Thomas Corpetti
MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques, March 2007, pp. 377--388.
Abstract: 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 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.
Article URL: http://dx.doi.org/10.1007/978-3-540-71457-6_34
BibTeX format:
@incollection{Courty:2007:DAO,
  author = {Nicolas Courty and Thomas Corpetti},
  title = {Data-Driven Animation of Crowds},
  booktitle = {MIRAGE 2007: Computer Vision/Computer Graphics Collaboration Techniques},
  pages = {377--388},
  month = mar,
  year = {2007},
}
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