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Using computer vision to simulate the motion of virtual agents
Author(s) -
Musse Soraia R.,
Jung Cláudio R.,
Jacques Julio C. S.,
Braun Adriana
Publication year - 2007
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.163
Subject(s) - computer science , motion (physics) , cluster analysis , artificial intelligence , computer vision , field (mathematics) , class (philosophy) , virtual reality , computer graphics (images) , virtual machine , trajectory , physics , mathematics , astronomy , pure mathematics , operating system
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.