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undergraduate thesis
Praćenje objekata u videozapisima
2017. urn:nbn:hr:168:695891
Jelušić, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Jelušić, M. (2017). Praćenje objekata u videozapisima (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:695891

Jelušić, Matej. "Praćenje objekata u videozapisima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:695891

Jelušić, Matej. "Praćenje objekata u videozapisima." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:695891

Jelušić, M. (2017). 'Praćenje objekata u videozapisima', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:695891

Jelušić M. Praćenje objekata u videozapisima [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:168:695891

M. Jelušić, "Praćenje objekata u videozapisima", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:695891

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Metadata
TitlePraćenje objekata u videozapisima
Title (english)Object Tracking in Video Sequences
AuthorMatej Jelušić
MentorTomislav Hrkać (mentor)
Committee memberTomislav Hrkać (predsjednik povjerenstva)
Committee memberKarla Brkić (član povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Praćenje objekata u videozapisima jedna je od važnih primjena računalnog vida. U ovom završnom radu analizirano je praćenje objekata, a odabrani algoritmom je camshift algoritam koji koristi informaciju o boji objekta, koji modelira histogramom. Taj histogram se iskorištava za izračun funkcije koja opisuje vjerojatnost položaja objekta u svakoj pojedinoj slici u videozapisu. Određivanjem ekstrema te funkcije pronalazi se točna lokacija objekta.
Abstract (english)
Object tracking is one of the most important fields of computer vision. In this final thesis we analyzed object tracking and chosen algorithm for this purpose was camshift. Camshift algorithm uses information about color of the object which is modeled by histogram. This histogram is used for calculating function which describes probability of object appearing at each pixel of the video frame. By determining the extreme of these functions, the exact location of the object can be found.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:695891
Study programmeTitle: Computing
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
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Created on2019-03-13 21:12:39