Learning from real-life experiences: a data-driven emotion contagion approach towards realistic virtual crowds
buir.advisor | Güdükbay, Uğur | |
dc.contributor.author | Başak, Ahmet Eren | |
dc.date.accessioned | 2017-10-04T12:45:01Z | |
dc.date.available | 2017-10-04T12:45:01Z | |
dc.date.copyright | 2017-09 | |
dc.date.issued | 2017-09 | |
dc.date.submitted | 2017-10-02 | |
dc.description | Cataloged from PDF version of article. | en_US |
dc.description | Thesis (M.S.): Bilkent University, Department of Computer Engineering, İhsan Doğramacı Bilkent University, 2017. | en_US |
dc.description | Includes bibliographical references (leaves 46-50). | en_US |
dc.description.abstract | We 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.provenance | Submitted 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.provenance | Made available in DSpace on 2017-10-04T12:45:01Z (GMT). No. of bitstreams: 1 10165295.pdf: 23457387 bytes, checksum: 6fad7aa40c30f74edbf942a919cd5ca7 (MD5) Previous issue date: 2017-10 | en |
dc.description.statementofresponsibility | by Ahmet Eren Başak. | en_US |
dc.embargo.release | 2020-10-02 | |
dc.format.extent | x, 50 leaves : illustrations (some color), charts ; 30 cm. | en_US |
dc.identifier.itemid | B019008 | |
dc.identifier.uri | http://hdl.handle.net/11693/33775 | |
dc.language.iso | English | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Emotion contagion | en_US |
dc.subject | Crowd simulation | en_US |
dc.subject | Parameter learning | en_US |
dc.subject | Data-driven optimization | en_US |
dc.title | Learning from real-life experiences: a data-driven emotion contagion approach towards realistic virtual crowds | en_US |
dc.title.alternative | Gerçek olaylardan öğrenme: gerçekçi sanal kalabalıklar için veriye dayalı duygu bulaşıcılığı | en_US |
dc.type | Thesis | en_US |
thesis.degree.discipline | Computer Engineering | |
thesis.degree.grantor | Bilkent University | |
thesis.degree.level | Master's | |
thesis.degree.name | MS (Master of Science) |