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dc.contributor.authorSehnoutka, M.
dc.date.accessioned2015-08-25T08:42:54Z
dc.date.available2015-08-25T08:42:54Z
dc.date.issued2015cs
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 162-164. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42963
dc.description.abstractThe goal of this paper is to describe design and implementation of system which is supposed to track objects in video sequence. Kalman filter is used for modeling object movement and prediction of its trajectory in moments when the object is hidden. System can use two different models. One is supposed to track objects that are moving with constant velocity and second one with constant acceleration.en
dc.formattextcs
dc.format.extent162-164cs
dc.format.mimetypeapplication/pdfen
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 21st Conference STUDENT EEICT 2015en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectMachine visionen
dc.subjectKalman filteren
dc.subjectObject trackingen
dc.titleObject Tracking Using Kalman Filteren
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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