Data-Driven Animation of Crowds

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 {\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.
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Communication dans un congrès
Proc. of Mirage 2007 - Computer Vision / Computer Graphics Collaboration Techniques and Applications, May 2007, Paris, France. 4418, pp.377--388, 2007
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https://hal.archives-ouvertes.fr/hal-00494248
Contributeur : Nicolas Courty <>
Soumis le : mardi 22 juin 2010 - 15:00:42
Dernière modification le : samedi 17 juin 2017 - 01:19:18
Document(s) archivé(s) le : vendredi 24 septembre 2010 - 17:47:43

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mirage07.pdf
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  • HAL Id : hal-00494248, version 1

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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. 4418, pp.377--388, 2007. <hal-00494248>

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