Dynamic Time Warping for Vehicle Classification

but.event.date23.04.2015cs
but.event.titleStudent EEICT 2015cs
dc.contributor.authorHalachkin, A.
dc.date.accessioned2015-08-25T08:42:53Z
dc.date.available2015-08-25T08:42:53Z
dc.date.issued2015cs
dc.description.abstractThis work focuses on the dynamic time warping for vehicle classification. The theoretical part includes the dynamic time warping algorithm description. The DTW module in Python, that was created during this work, is subsequently applied for the recognition of vehicle types by their side profiles based on the DTW.en
dc.formattextcs
dc.format.extent156-158cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 21st Conference STUDENT EEICT 2015. s. 156-158. ISBN 978-80-214-5148-3cs
dc.identifier.isbn978-80-214-5148-3
dc.identifier.urihttp://hdl.handle.net/11012/42961
dc.language.isoencs
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.rights.accessopenAccessen
dc.subjectdynamic time warpingen
dc.subjectvehicle classificationen
dc.subjectvehicle side profileen
dc.titleDynamic Time Warping for Vehicle Classificationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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