Steering Behaviors for Autonomous Cameras

Quentin Galvane 1, * Marc Christie 2 Rémi Ronfard 1, * Chen-Kim Lim 1 Marie-Paule Cani 1
* Corresponding author
1 IMAGINE - Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
2 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : The automated computation of appropriate viewpoints in complex 3D scenes is a key problem in a number of computer graphics applications. In particular, crowd simulations create visually complex environments with many simultaneous events for which the computation of relevant viewpoints remains an open issue. In this paper, we propose a system which enables the conveyance of events occurring in complex crowd simulations. The system relies on Reynolds' model of steering behaviors to control and locally coordinate a collection of camera agents similar to a group of reporters. In our approach, camera agents are either in a scouting mode, searching for relevant events to convey, or in a tracking mode following one or more unfolding events. The key benefit, in addition to the simplicity of the steering rules, holds in the capacity of the system to adapt to the evolving complexity of crowd simulations by self-organizing the camera agents to track interesting events.
keyword : narration
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Submitted on : Tuesday, September 17, 2013 - 1:13:35 PM
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Quentin Galvane, Marc Christie, Rémi Ronfard, Chen-Kim Lim, Marie-Paule Cani. Steering Behaviors for Autonomous Cameras. MIG 2013 - ACM SIGGRAPH conference on Motion in Games, Nov 2013, Dublin, Ireland. pp.93-102, ⟨10.1145/2522628.2522899⟩. ⟨hal-00862713⟩

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