Group Behavior from Video: A Data-Driven Approach to Crowd Simulation

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dc.contributor.authorLee, Kang Hoonen_US
dc.contributor.authorChoi, Myung Geolen_US
dc.contributor.authorHong, Qyounen_US
dc.contributor.authorLee, Jeheeen_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.abstractCrowd simulation techniques have frequently been used to animate a large group of virtual humans in computer graphics applications. We present a data-driven method of simulating a crowd of virtual humans that exhibit behaviors imitating real human crowds. To do so, we record the motion of a human crowd from an aerial view using a camcorder, extract the two-dimensional moving trajectories of each individual in the crowd, and then learn an agent model from observed trajectories. The agent model decides each agent s actions based on features of the environment and the motion of nearby agents in the crowd. Once the agent model is learned, we can simulate a virtual crowd that behaves similarly to the real crowd in the video. The versatility and flexibility of our approach is demonstrated through examples in which various characteristics of group behaviors are captured and reproduced in simulated crowds.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/SCA07/109-118en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Three-Dimensional Graphics and Realism]: Animationen_US
dc.titleGroup Behavior from Video: A Data-Driven Approach to Crowd Simulationen_US
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SCA 07: Eurographics/SIGGRAPH Symposium on Computer Animation