ABSTRACT
We introduce the Spatio-Temporal Agent Motion Model, a data-driven representation of the behavior and motion of individuals within a space over the course of a day. We explore different representations for this model, incorporating different modes of individual behavior, and describe how crowd simulations can use this model as source material for dynamic and realistic behaviors.
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Index Terms
- Generating plausible individual agent movements from spatio-temporal occupancy data
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