Covariance Features for Trajectory Analysis

dc.contributor.author Karadeniz, Talha
dc.contributor.author Maras, Hadi Hakan
dc.date.accessioned 2025-11-06T17:22:18Z
dc.date.available 2025-11-06T17:22:18Z
dc.date.issued 2016
dc.description Maras, Hadi Hakan/0000-0001-5117-3938 en_US
dc.description.abstract In this work, we aimed to demonstrate that covariance estimation methods can be used for trajectory classification. We have shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. We have arrived to the conclusion that, when compared to Dynamic Time Warping, the explained technique is faster and may yield more accurate results. en_US
dc.identifier.isbn 9781509016792
dc.identifier.uri https://hdl.handle.net/20.500.12416/15727
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.relation.ispartof 24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Trajectory Classification en_US
dc.subject Dynamic Time Warping en_US
dc.subject Clustering en_US
dc.title Covariance Features for Trajectory Analysis
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.id Maras, Hadi Hakan/0000-0001-5117-3938
gdc.author.wosid Maras, Hadi Hakan/G-1236-2017
gdc.author.wosid Maras, Hakan/G-1236-2017
gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Karadeniz, Talha; Maras, Hadi Hakan] Cankaya Univ, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey en_US
gdc.description.endpage 1683 en_US
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1681 en_US
gdc.description.woscitationindex Conference Proceedings Citation Index - Science
gdc.description.wosquality N/A
gdc.identifier.wos WOS:000391250900397
gdc.index.type WoS
gdc.wos.citedcount 0
relation.isAuthorOfPublication.latestForDiscovery 7269fd52-d99c-41aa-863d-cb899d6b3ab7
relation.isOrgUnitOfPublication.latestForDiscovery aef16c1d-5b84-42f9-9dab-8029b2b0befd

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