Augmentation of virtual agents in real crowd videos

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buir.contributor.authorDoğan, Yalım
buir.contributor.authorGüdükbay, Uğur
buir.contributor.authorDibeklioğlu, Hamdi
dc.citation.epage650en_US
dc.citation.spage643en_US
dc.citation.volumeNumber13en_US
dc.contributor.authorDoğan, Yalımen_US
dc.contributor.authorDemirci, Serkanen_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorDibeklioğlu, Hamdien_US
dc.date.accessioned2021-03-26T13:00:45Z
dc.date.available2021-03-26T13:00:45Z
dc.date.issued2019
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractAugmenting virtual agents in real crowd videos is an important task for different applications from simulations of social environments to modeling abnormalities in crowd behavior. We propose a framework for this task, namely for augmenting virtual agents in real crowd videos. We utilize pedestrian detection and tracking algorithms to automatically locate the pedestrians in video frames and project them into our simulated environment, where the navigable area of the simulated environment is available as a navigation mesh. We represent the real pedestrians in the video as simple three-dimensional (3D) models in our simulation environment. 3D models representing real agents and the augmented virtual agents are simulated using local path planning coupled with a collision avoidance algorithm. The virtual agents augmented into the real video move plausibly without colliding with static and dynamic obstacles, including other virtual agents and the real pedestrians.en_US
dc.description.provenanceSubmitted by Evrim Ergin (eergin@bilkent.edu.tr) on 2021-03-26T13:00:45Z No. of bitstreams: 1 Augmentation_of_virtual_agents_in_real_crowd_videos.pdf: 1832839 bytes, checksum: 920ee3641ffbd0583dc4662a57bda19f (MD5)en
dc.description.provenanceMade available in DSpace on 2021-03-26T13:00:45Z (GMT). No. of bitstreams: 1 Augmentation_of_virtual_agents_in_real_crowd_videos.pdf: 1832839 bytes, checksum: 920ee3641ffbd0583dc4662a57bda19f (MD5) Previous issue date: 2019en
dc.identifier.doi10.1007/s11760-018-1392-8en_US
dc.identifier.issn1863-1711
dc.identifier.urihttp://hdl.handle.net/11693/75994
dc.language.isoEnglishen_US
dc.publisherSpringeren_US
dc.relation.isversionofhttps://doi.org/10.1007/s11760-018-1392-8en_US
dc.source.titleSignal, Image and Video Processingen_US
dc.subjectData-driven simulationen_US
dc.subjectPedestrian detectionen_US
dc.subjectPedestrian trackingen_US
dc.subjectCrowd simulationen_US
dc.subjectCollision avoidanceen_US
dc.subjectAugmented realityen_US
dc.titleAugmentation of virtual agents in real crowd videosen_US
dc.typeArticleen_US

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