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dc.contributor.authorBarrowclough, Oliver Joseph David
dc.contributor.authorBriseid, Sverre
dc.contributor.authorMuntingh, Agnar Georg Peder
dc.contributor.authorViksand, Torbjørn
dc.date.accessioned2023-03-09T12:57:35Z
dc.date.available2023-03-09T12:57:35Z
dc.date.created2020-09-10T13:29:15Z
dc.date.issued2020
dc.identifier.citationSN Computer Science. 2020, 1, 296.en_US
dc.identifier.issn2662-995X
dc.identifier.urihttps://hdl.handle.net/11250/3057389
dc.description.abstractDuring the past decade, a new approach to providing air traffic services to airports from a remote location has been established, known as remote or digital tower. High quality video data is a core component in remote tower operations as it inherently contains a huge amount of information on which a controller can base decisions. The total resolution of a typical remote tower setup often exceeds 25 million RGB pixels and is captured at 30 frames per second or more. It is thus a challenge to efficiently process all the data in such a way as to provide relevant real-time enhancements to the controller. In this paper we describe the development of number of improvements and discuss how they can be implemented efficiently on a single workstation by decoupling processes, implementing attention mechanisms and utilizing hardware for parallel computing.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleReal-Time Processing of High-Resolution Video and 3D Model-Based Tracking for Remote Towersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2020.en_US
dc.source.volume1en_US
dc.source.journalSN Computer Scienceen_US
dc.identifier.doi10.1007/s42979-020-00304-x
dc.identifier.cristin1828749
dc.relation.projectEC/H2020/730195en_US
dc.source.articlenumber296en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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