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Hardware Accelarated Visual Tracking Algorithms. A Systematic Literature Review

Korhonen, Sirpa; Sakari, Leo; Säntti, Tero; Lahdenoja, Olli; Lehtonen, Teijo (2015-08-14)

dc.contributorUniversity of Turku, Technology Research Center
dc.contributor.authorKorhonen, Sirpa
dc.contributor.authorSakari, Leo
dc.contributor.authorSäntti, Tero
dc.contributor.authorLahdenoja, Olli
dc.contributor.authorLehtonen, Teijo
dc.date.accessioned2015-08-14T10:41:36Z
dc.date.available2015-08-14T10:41:36Z
dc.date.issued2015-08-14
dc.identifierISBN 978-951-29-6189-4-
dc.identifier.urihttp://www.utupub.fi/handle/10024/113116
dc.description.abstractMany industrial applications need object recognition and tracking capabilities. The algorithms developed for those purposes are computationally expensive. Yet ,real time performance, high accuracy and small power consumption are essential measures of the system. When all these requirements are combined, hardware acceleration of these algorithms becomes a feasible solution. The purpose of this study is to analyze the current state of these hardware acceleration solutions, which algorithms have been implemented in hardware and what modifications have been done in order to adapt these algorithms to hardware.-
dc.language.isoeng-
dc.publisherUniversity of Turku, Technology Research Center
dc.relation.ispartofseriesUniversity of Turku Technical Reports
dc.titleHardware Accelarated Visual Tracking Algorithms. A Systematic Literature Review-
dc.identifier.urnURN:ISBN:978-951-29-6189-4-
dc.relation.issn2341-8028
dc.description.notificationSiirretty Doriasta
dc.contributor.facultyfi=Erillislaitokset|en=Special Units|
dc.contributor.departmentTechnology Research Center
dc.format.contentfulltext
dc.relation.numberinseries5-


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