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dc.contributor.advisorMusse, Soraia Raupp
dc.contributor.authorJacques Junior, Julio Cezar Silveirapt_BR
dc.date.accessioned2015-03-05T13:56:58Z
dc.date.accessioned2022-09-22T19:05:12Z
dc.date.available2015-03-05T13:56:58Z
dc.date.available2022-09-22T19:05:12Z
dc.date.issued2006-02-20
dc.identifier.urihttps://hdl.handle.net/20.500.12032/56758
dc.description.abstractThis study presents a model to extract information from the real world using computer vision techniques. In particular, we use tracking algorithms to extract the trajectories of filmed people, aiming to simulate and validate the behavior of virtual human crowds.A great challenge when trying to reproduce in a realistic manner (by means of simulation) the behavior of a crowd in a determined space is to inform to the simulation model all necessary attributes to describe the movement of virtual people. Individual and general features of people can produce a great variety of behaviors, making its modeling complex. Furthermore, the space also contains restrictions that can interfere on people behavior. In this study it is proposed a model in which people from the real world have their trajectories captured in an automatic manner. In a post-processing step, captured trajectories are used to generate velocity fields that will be used to help in the calculation of virtual human movement, providing more realistic sen
dc.description.sponsorshipHewlett-Packard Brasil Ltdapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio do Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectacompanhamento de objetospt_BR
dc.subjectbackground subtractionen
dc.titleUtilizando visão computacional para simular comportamentos de multidão de humanos virtuaispt_BR
dc.typeDissertaçãopt_BR


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