(This paper has been published in the 2019 ACM SIGGRAPH Conference on Motion, Interaction and Games.) Abstract: This paper introduces the use of numerical optical flow (OF) in vision-based steering techniques – that control characters locomotion trajectories by using a simulation of their visual perception. In contrast with synthetic OF…
(This paper has been published in the 2019 International Conference on Computer Animation and Social Agents.) Abstract: This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment. Given a set of observed trajectories, we use a recent form of…
(This paper has been published in the workshops of the 2019 Computer Vision and Pattern Recognition Conference.) Abstract: A novel approach for predicting the motion of pedestrians interacting with others. It uses a Generative Adversarial Network (GAN) to sample plausible predictions for any agent in the scene. As GANs are…
Overview: The objective of microscopic crowd simulation algorithms is to calculate the motion of a large number of agents. The movement of agents results from a set of control laws that allow them to perform actions in their environment, such as reaching a destination, or to perform interactions with other…
