Learning from real-life experiences: a data-driven emotion contagion approach towards realistic virtual crowds

buir.advisorGüdükbay, Uğur
dc.contributor.authorBaşak, Ahmet Eren
dc.date.accessioned2017-10-04T12:45:01Z
dc.date.available2017-10-04T12:45:01Z
dc.date.copyright2017-09
dc.date.issued2017-09
dc.date.submitted2017-10-02
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (M.S.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2017.en_US
dc.descriptionIncludes bibliographical references (leaves 46-50).en_US
dc.description.abstractWe propose a data-driven approach for tuning, validating and optimizing crowd simulations by learning parameters from real-life videos. We discuss the common traits of incidents and their video footages suitable for the learning step. We then demonstrate the learning process in three real-life incidents: a bombing attack, a panic in subway and a Black Friday rush. We reanimate the incidents using an existing emotion contagion and crowd simulation framework and optimize the parameters that characterize agent behavior with respect to the data extracted from the video footages of the incidents.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2017-10-04T12:45:01Z No. of bitstreams: 1 10165295.pdf: 23457387 bytes, checksum: 6fad7aa40c30f74edbf942a919cd5ca7 (MD5)en
dc.description.provenanceMade available in DSpace on 2017-10-04T12:45:01Z (GMT). No. of bitstreams: 1 10165295.pdf: 23457387 bytes, checksum: 6fad7aa40c30f74edbf942a919cd5ca7 (MD5) Previous issue date: 2017-10en
dc.description.statementofresponsibilityby Ahmet Eren Başak.en_US
dc.embargo.release2020-10-02
dc.format.extentx, 50 leaves : illustrations (some color), charts ; 30 cm.en_US
dc.identifier.itemidB019008
dc.identifier.urihttp://hdl.handle.net/11693/33775
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEmotion contagionen_US
dc.subjectCrowd simulationen_US
dc.subjectParameter learningen_US
dc.subjectData-driven optimizationen_US
dc.titleLearning from real-life experiences: a data-driven emotion contagion approach towards realistic virtual crowdsen_US
dc.title.alternativeGerçek olaylardan öğrenme: gerçekçi sanal kalabalıklar için veriye dayalı duygu bulaşıcılığıen_US
dc.typeThesisen_US
thesis.degree.disciplineComputer Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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