Automatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Data

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dc.contributor.authorApeltauer, Jiřícs
dc.contributor.authorHerman, Davidcs
dc.contributor.authorBabinec, Adamcs
dc.contributor.authorApeltauer, Tomášcs
dc.coverage.issueXL-3cs
dc.coverage.volumeW2cs
dc.date.issued2015-03-25cs
dc.description.abstractThis paper presents a new approach to simultaneous detection and tracking of vehicles moving through an intersection in aerial images acquired by an unmanned aerial vehicle (UAV). Detailed analysis of spatial and temporal utilization of an intersection is an important step for its design evaluation and further traffic inspection. Traffic flow at intersections is typically very dynamic and requires continuous and accurate monitoring systems. Conventional traffic surveillance relies on a set of fixed cameras or other detectors, requiring a high density of the said devices in order to monitor the intersection in its entirety and to provide data in sufficient quality. Alternatively, a UAV can be converted to a very agile and responsive mobile sensing platform for data collection from such large areas. However, manual vehicle annotation in aerial images would involve tremendous effort. In this paper, the proposed combination of vehicle detection and tracking aims to tackle the problem of automatic traffic analysis at an intersection from visual data. The presented method has been evaluated in several real-life scenarios.en
dc.description.abstractČlánek představuje nový přístup k detekování vozidel a sledování jejich trajektorie při pohybu v křižovatce pomocí snímků pořízených bezpilotním letounem. Prostorové a časové využití křižovatky je klíčové pro budoucí přístupy v návrhu křižovatek.cs
dc.formattextcs
dc.format.extent9-15cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2015, vol. W2, issue XL-3, p. 9-15.en
dc.identifier.doi10.5194/isprsarchives-XL-3-W2-9-2015cs
dc.identifier.issn2194-9034cs
dc.identifier.orcid0000-0002-9791-4655cs
dc.identifier.orcid0000-0003-3186-2175cs
dc.identifier.other111834cs
dc.identifier.researcheridP-9965-2015cs
dc.identifier.researcheridQ-2414-2015cs
dc.identifier.scopus56566688300cs
dc.identifier.scopus35067734400cs
dc.identifier.urihttp://hdl.handle.net/11012/70252
dc.language.isoencs
dc.publisherInternational Society of Photogrammetry and Remote Sensingcs
dc.relation.ispartofThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciencescs
dc.relation.urihttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/9/2015/isprsarchives-XL-3-W2-9-2015.htmlcs
dc.rightsCreative Commons Attribution 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2194-9034/cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.subjecttraffic monitoringen
dc.subjectvehicle detectionen
dc.subjectvehicle trackingen
dc.subjectaerial imageryen
dc.subjectUAVen
dc.subjectparticle filteren
dc.subjectmonitoring provozu
dc.subjectdetekce vozidel
dc.subjectsledování vozidel
dc.subjectletecké snímky
dc.subjectUAV
dc.subjectčásticový filtr
dc.titleAutomatic Vehicle Trajectory Extraction For Traffic Analysis From Aerial Video Dataen
dc.title.alternativeAnalýza křižovatek pomocí bezpilotních prostředkůcs
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-111834en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:44:49en
sync.item.modts2025.01.17 15:34:18en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav pozemních komunikacícs
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