Tree Paths: A New Model for Steering Behaviors
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Towards a quantitative approach for comparing crowds
Computer Animation and Virtual Worlds
From their environment to their behavior: a procedural approach to model groups of virtual agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Learning motion patterns in unstructured scene based on latent structural information
Journal of Visual Languages and Computing
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In this paper, we propose a new model to simulate the movement of virtual humans based on trajectories captured automatically from filmed video sequences. These trajectories are grouped into similar classes using an unsupervised clustering algorithm, and an extrapolated velocity field is generated for each class. A physically-based simulator is then used to animate virtual humans, aiming to reproduce the trajectories fed to the algorithm and at the same time avoiding collisions with other agents. The proposed approach provides an automatic way to reproduce the motion of real people in a virtual environment, allowing the user to change the number of simulated agents while keeping the same goals observed in the filmed video. Copyright © 2007 John Wiley & Sons, Ltd.