Context-Dependent Crowd Evaluation

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dc.contributor.authorLerner, Alonen_US
dc.contributor.authorChrysanthou, Yiorgosen_US
dc.contributor.authorShamir, Arielen_US
dc.contributor.authorCohen-Or, Danielen_US
dc.date.accessioned2015-02-23T17:37:51Z
dc.date.available2015-02-23T17:37:51Z
dc.date.issued2010en_US
dc.description.abstractMany times, even if a crowd simulation looks good in general, there could be some specific individual behaviors which do not seem correct. Spotting such problems manually can become tedious, but ignoring them may harm the simulation s credibility. In this paper we present a data-driven approach for evaluating the behaviors of individuals within a simulated crowd. Based on video-footage of a real crowd, a database of behavior examples is generated. Given a simulation of a crowd, an analog analysis is performed on it, defining a set of queries, which are matched by a similarity function to the database examples. The results offer a possible objective answer to the question of how similar are the simulated individual behaviors to real observed behaviors. Moreover, by changing the video input one can change the context of evaluation. We show several examples of evaluating simulated crowds produced using different techniques and comprising of dense crowds, sparse crowds and flocks.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2010.01808.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages2197-2206en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2010.01808.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleContext-Dependent Crowd Evaluationen_US
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