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undergraduate thesis
Baze podataka za detekciju, praćenje i analizu mnoštva osoba
2020. urn:nbn:hr:190:711417
Brajković, Mauro
University of Rijeka
Faculty of Engineering
Department of Computer Engineering
Section of Intelligent Computing Systems

Cite this document

Brajković, M. (2020). Baze podataka za detekciju, praćenje i analizu mnoštva osoba (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:711417

Brajković, Mauro. "Baze podataka za detekciju, praćenje i analizu mnoštva osoba." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:711417

Brajković, Mauro. "Baze podataka za detekciju, praćenje i analizu mnoštva osoba." Undergraduate thesis, University of Rijeka, Faculty of Engineering, 2020. https://urn.nsk.hr/urn:nbn:hr:190:711417

Brajković, M. (2020). 'Baze podataka za detekciju, praćenje i analizu mnoštva osoba', Undergraduate thesis, University of Rijeka, Faculty of Engineering, accessed 15 October 2024, https://urn.nsk.hr/urn:nbn:hr:190:711417

Brajković M. Baze podataka za detekciju, praćenje i analizu mnoštva osoba [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2020 [cited 2024 October 15] Available at: https://urn.nsk.hr/urn:nbn:hr:190:711417

M. Brajković, "Baze podataka za detekciju, praćenje i analizu mnoštva osoba", Undergraduate thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:190:711417

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Metadata
TitleBaze podataka za detekciju, praćenje i analizu mnoštva osoba
Title (english)Databases for detection, tracking and crowd analysis
AuthorMauro Brajković
MentorIvo Ipšić (mentor)
Committee memberKristijan Lenac (predsjednik povjerenstva)
Committee memberIvo Ipšić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Computer Engineering)
(Section of Intelligent Computing Systems)
Rijeka
Defense date and country2020-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je pregled i klasifikacija video zapisa iz slobodno dostupnih baza podataka te označavanje objekata u video zapisu koristeći alat CVAT. Predstavljeno je više različitih programa za označavanje objekata u sekvencama fotografija ili video zapisima. Zapisi pronađenih baza podataka klasificirani su prema broju osoba u zapisu i događaju/mjestu događaja kako bi se olakšala upotreba zapisa za testiranje algoritama ili treniranje algoritama za prepoznavanje osoba. Rezultati označavanja alatom CVAT izvezeni su u .xml formatu.
Abstract (english)
The aim of this study is to survey and classify videos from free access databases and to present the annotation capabilities of the CVAT tool. Aside from CVAT, a plethora of annotation tools was presented. Videos from the databases were classified by the number of people and by the place or activity performed to facilitate their use in algorithm testing and training for people recognition. The CVAT annotation results were exported in .xml format.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:711417
Study programmeTitle: Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2020-12-14 13:49:15