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Novel memory systems tailored to vision algorithms

Farantos Georgios

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URIhttp://purl.tuc.gr/dl/dias/A7ECE059-96E2-4D5B-87EA-7F0B42705D87-
Identifierhttps://doi.org/10.26233/heallink.tuc.23152-
Languageen-
Extent51 pagesen
TitleNovel memory systems tailored to vision algorithmsen
CreatorFarantos Georgiosen
CreatorΦαραντος Γεωργιοςel
Contributor [Thesis Supervisor]Papaefstathiou Ioannisen
Contributor [Thesis Supervisor]Παπαευσταθιου Ιωαννηςel
Contributor [Committee Member]Zervakis Michalisen
Contributor [Committee Member]Ζερβακης Μιχαληςel
Contributor [Committee Member]Dollas Apostolosen
Contributor [Committee Member]Δολλας Αποστολοςel
PublisherTechnical University of Creteen
PublisherΠολυτεχνείο Κρήτηςel
Academic UnitTechnical University of Crete::School of Electronic and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστώνel
DescriptionFinal thesis reporten
Content SummaryNowadays, one of the most important challenges in the field of Computer Vision and the target of all the engineers that are associated with this, is the design of embedded systems that will execute real-time algorithms with big accuracy and low cost. This effort meets a lot of difficulties as the algorithms that have already been applied “suffer” by bottlenecks, especially as far as that concerns the memory accesses. In this thesis, we deal with a novel embedded system, which implements the OpenTLD algorithm and can be applied at a broad-range of algorithms based on the generalized Viola and Jones framework. Viola and Jones framework, despite the fact that is hardware friendly in resource-limited devices (FPGAs), the way it access the memory causes certain problems and parallelism is not easy to be applied on it. This is mainly due to the fact that it is a memory bound problem and its memory access pattern has certain characteristics that make it hard to take advantage of the conventional memory hierarchies. Our system accelerates the bottleneck of the algorithm with a high bandwidth distributed memory sub-system which is independent of the various software parameters. Thus, it was of high interest, the effort to try this embedded system on an algorithm out of Viola and Jones framework and study the result. That is the second part of the thesis. The first one is to optimize the first edition of the system in order to be more efficient and easier as concerns the communication with different algorithms.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2014-11-06-
Date of Publication2014-
SubjectEmbedded systems (Computer systems)en
Subjectembedded computer systemsen
Subjectembedded systems computer systemsen
Bibliographic CitationGeorgios Farantos, "Novel memory systems tailored to vision algorithms", Diploma Work, School of Electronic and Computer Engineering, Technical University of Crete, Chania, Greece, 2014en
Bibliographic CitationΓεώργιος Φαράντος, "Novel memory systems tailored to vision algorithms", Διπλωματική Εργασία, Σχολή Ηλεκτρονικών Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2014el

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