Fitting Behaviors to Pedestrian Simulations

dc.contributor.authorLerner, Alonen_US
dc.contributor.authorFitusi, Eitanen_US
dc.contributor.authorChrysanthou, Yiorgosen_US
dc.contributor.authorCohen-Or, Danielen_US
dc.contributor.editorEitan Grinspun and Jessica Hodginsen_US
dc.date.accessioned2016-02-18T11:50:49Z
dc.date.available2016-02-18T11:50:49Z
dc.date.issued2009en_US
dc.description.abstractIn this paper we present a data-driven approach for fitting behaviors to simulated pedestrian crowds. Our method annotates agent trajectories, generated by any crowd simulator, with action-tags. The aggregate effect of animating the agents according to the tagged trajectories enhances the impression that the agents are interacting with one another and with the environment. In a preprocessing stage, the stimuli which motivated a person to perform an action, as observed in a crowd video, are encoded into examples. Using the examples, non-linear, action specific influence functions are encoded into two-dimensional maps which evaluate, for each action, the relative importance of a stimulus within a configuration. At run time, given an agents stimuli configuration, the importance of each stimulus is determined and compared to the examples. Thus, the probability of performing each action is approximated and an action-tag is chosen accordingly. We fit behaviors to pedestrian crowds, thereby enhancing their natural appearance.en_US
dc.description.sectionheadersCrowdsen_US
dc.description.seriesinformationEurographics/ ACM SIGGRAPH Symposium on Computer Animationen_US
dc.identifier.doi10.1145/1599470.1599496en_US
dc.identifier.isbn978-1-60558-610-6en_US
dc.identifier.issn1727-5288en_US
dc.identifier.pages199-208en_US
dc.identifier.urihttps://doi.org/10.1145/1599470.1599496en_US
dc.publisherACM SIGGRAPH / Eurographics Associationen_US
dc.subjectComputer Graphics [I.3.7]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectAnimationen_US
dc.titleFitting Behaviors to Pedestrian Simulationsen_US
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