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A Physically-Based Particle Model of Emergent Crowd Behaviors

Laure Heigeas 1 Annie Luciani 2, * Joëlle Thollot 1, * Nicolas Castagné 2 
* Corresponding author
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper presents a modeling process in order to produce a realistic simulation of crowds in the ancient Greek agora of Argos. This place was a social theater in which two kinds of collective phenomena took place: interpersonal interactions (small group discussion and negotiation, etc.) and global collective phenomena, such as flowing and jamming. In this paper, we focus on the second type of collective human phenomena, called non-deliberative emergent crowd phenomena. This is a typical case of collective emergent self-organization. When a great number of individuals move within a confined environment and under a common fate, collective structures appear spontaneously: jamming with inner collapses, organized flowing with queues, curls, and vortices, propagation effects, etc. These are particularly relevant features to enhance the realism - more precisely the "truthfulness" - of models of this kind of collective phenomena. We assume that this truthfulness is strongly associated with the concept of emergence: evolutions are not predetermined by the individual characters, but emerge from the interaction of numerous characters. The evolutions are not repetitive, and evolve on the basis of small changes. This paper demonstrates that the physically-based interacting particles system is an adequate candidate to model emergent crowd effects: it associates a large number of elementary dynamic actors via elementary non-linear dynamic interactions. Our model of the scene is regulated as a large, dynamically coupled network of second order differential automata. We take advantage of symbolic non-photorealistic and efficient visualization to render the style of the person, rather than the person itself. As an artistic representation, NPR reinforces the symbolic acceptance of the scene by the observer, triggering an immediate and intuitive recognition of the scene as a plausible scene from ancient Greece.
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Submitted on : Wednesday, October 13, 2010 - 4:50:40 PM
Last modification on : Friday, February 4, 2022 - 3:31:09 AM
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  • HAL Id : inria-00510172, version 1
  • ARXIV : 1005.4405



Laure Heigeas, Annie Luciani, Joëlle Thollot, Nicolas Castagné. A Physically-Based Particle Model of Emergent Crowd Behaviors. Graphicon 2003 - 13th International Conference on Computer Graphics, Sep 2003, Moscou, Russia. pp.1-9. ⟨inria-00510172⟩



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