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undergraduate thesis
Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:910062
Doždor, Zorana
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Doždor, Z. (2019). Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:910062

Doždor, Zorana. "Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:910062

Doždor, Zorana. "Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:910062

Doždor, Z. (2019). 'Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:910062

Doždor Z. Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:910062

Z. Doždor, "Praćenje objekata prilagodljivim pomicanjem prozora pretraživanja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:910062

Metadata
TitlePraćenje objekata prilagodljivim pomicanjem prozora pretraživanja
Title (english)Object Tracking Based on Adaptive Search Window Shift
AuthorZorana Doždor
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberJosip Šarić (član povjerenstva)
Committee memberIvan Grubišić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Praćenje objekta je definirano kao problem određivanje putanje objekta dok se kreće kroz scenu. U ovom radu opisan je algoritam camshift koji ostvaruje praćenje pronalaskom ekstrema funkcije razdiobe vjerojatnosti. Funkcija razdiobe vjerojatnosti se pronalazi metodom povratne projekcije histograma. Implementacija navedenog algoritma je testirana na različitim slikovnim sekvencama i uspoređena je s implementacijom dostupom u programskoj biblioteci OpenCV. Rezultati pokazuju da se algoritam može primijeniti na praćenje različitih objekta te da je uspješan i za slikovne sekvence niske svjetline te uz prisutnost uniformnog šuma.
Abstract (english)
Object tracking is defined as the problem of estimating the trajectory of an object in an image plane as it moves around a scene. In this paper, the camshift algorithm is described. It is a tracking technique based on findig the mode of a probability distribution function. The probability distribution function is found by histogram backprojection. The implementation of this algorithm was tested on different image sequences and compared to the implementation avaliable in the OpenCV program library. The results show that the algorithm can be used for tracking various objects and that it can succesfully be applied for tracking objects even in low brightness videos as well as in videos with uniform noise.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:910062
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 on2020-01-07 17:41:35