A Decision Network Framework for the Behavioral Animation of Virtual Humans

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dc.contributor.authorYu, Qinxinen_US
dc.contributor.authorTerzopoulos, Demetrien_US
dc.contributor.editorDimitris Metaxas and Jovan Popovicen_US
dc.date.accessioned2014-01-29T07:27:29Z
dc.date.available2014-01-29T07:27:29Z
dc.date.issued2007en_US
dc.description.abstractWe introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in urban settings. Based on hierarchical decision networks, our novel framework combines probability, decision, and graph theories for complex behavior modeling and intelligent action selection subject to manifold internal and external factors in the presence of uncertain knowledge. It yields autonomous characters that can make nontrivial interpretations and arrive at rational decisions dependent on multiple considerations. We demonstrate our framework in behavioral animation scenarios involving interacting autonomous pedestrians, including an elaborate emergency response animation.en_US
dc.description.seriesinformationEurographics/SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.isbn978-3-905673-44-9en_US
dc.identifier.issn1727-5288en_US
dc.identifier.urihttps://doi.org/10.2312/SCA/SCA07/119-128en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Decision Network Framework for the Behavioral Animation of Virtual Humansen_US
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SCA 07: Eurographics/SIGGRAPH Symposium on Computer Animation