A group-based approach for gaze behavior of virtual crowds incorporating personalities

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buir.contributor.authorGüdükbay, Uğur
dc.citation.epage26en_US
dc.citation.issueNumber5en_US
dc.citation.spage1en_US
dc.citation.volumeNumber29en_US
dc.contributor.authorAğıl, U.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.date.accessioned2019-02-21T16:10:39Z
dc.date.available2019-02-21T16:10:39Z
dc.date.issued2018en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractPredicting interest points of virtual characters and accurately simulating their gaze behavior play a significant role for realistic crowd simulations. We propose a saliency model that enables virtual agents to produce plausible gaze behavior. The model measures the effects of distinct saliency features implemented by examining the state-of-the-art perception studies. When predicting an agent's interest point, we compute the saliency scores by using a weighted sum function for other agents and environment objects in the field of view of the agent for each frame. Then, we determine the most salient entity for each agent in the scene; thus, agents gain a visual understanding of their environment. Besides, our model introduces new aspects to crowd perception, such as perceiving characters as groups of people and applying social norms on crowd gaze behavior, effects of agent personality on gaze, gaze copy phenomena, and effects of agent velocity on attention. For evaluation, we compare the resulting saliency gaze model with real-world crowd behavior in captured videos. In the experiments, we simulate the gaze behavior in real crowds. The results show that the proposed approach generates plausible gaze behaviors and is easily adaptable to varying scenarios for virtual crowds.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:10:39Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.embargo.release2019-10-08en_US
dc.identifier.doi10.1002/cav.1806
dc.identifier.issn1546-4261
dc.identifier.urihttp://hdl.handle.net/11693/50514
dc.language.isoEnglish
dc.publisherJohn Wiley and Sons
dc.relation.isversionofhttps://doi.org/10.1002/cav.1806
dc.source.titleComputer Animation and Virtual Worldsen_US
dc.subjectCrowd simulationen_US
dc.subjectGaze behavioren_US
dc.subjectGaze copyen_US
dc.subjectInterest point detectionen_US
dc.subjectPerceptionen_US
dc.subjectSaliencyen_US
dc.titleA group-based approach for gaze behavior of virtual crowds incorporating personalitiesen_US
dc.typeArticleen_US

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