Crowds by Example

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dc.contributor.authorLerner, Alonen_US
dc.contributor.authorChrysanthou, Yiorgosen_US
dc.contributor.authorLischinski, Danien_US
dc.date.accessioned2015-02-21T15:43:18Z
dc.date.available2015-02-21T15:43:18Z
dc.date.issued2007en_US
dc.description.abstractWe present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restricted set of rules. This assumption limits the behavioral complexity of the simulated agents. By learning from real-world examples, our autonomous agents display complex natural behaviors that are often missing in crowd simulations. Examples are created from tracked video segments of real pedestrian crowds. During a simulation, autonomous agents search for examples that closely match the situation that they are facing. Trajectories taken by real people in similar situations, are copied to the simulated agents, resulting in seemingly natural behaviors.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume26en_US
dc.identifier.doi10.1111/j.1467-8659.2007.01089.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages655-664en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2007.01089.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleCrowds by Exampleen_US
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