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master's thesis
Robusni sustav za praćenje više lica
2018. urn:nbn:hr:168:207190
Alić, Antonio
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Alić, A. (2018). Robusni sustav za praćenje više lica (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:207190

Alić, Antonio. "Robusni sustav za praćenje više lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:207190

Alić, Antonio. "Robusni sustav za praćenje više lica." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:207190

Alić, A. (2018). 'Robusni sustav za praćenje više lica', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 06 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:207190

Alić A. Robusni sustav za praćenje više lica [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2025 April 06] Available at: https://urn.nsk.hr/urn:nbn:hr:168:207190

A. Alić, "Robusni sustav za praćenje više lica", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:207190

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Metadata
TitleRobusni sustav za praćenje više lica
Title (english)Robust Multi-Face Tracking System
AuthorAntonio Alić
MentorSlobodan Ribarić (mentor)
Committee memberSlobodan Ribarić (predsjednik povjerenstva)
Committee memberSiniša Šegvić (član povjerenstva)
Committee memberVlado Sruk (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Implementacija robusnog sustava za praćenje više lica, temeljenom na podudaranju s predlošcima pomoću normalizirane križne korelacije u frekvencijskoj domeni, uz memoriju organiziranu kao LIFO red kako bi se omogućilo ponovno uspostavljanje praćenja u slučaju okluzije ili ponovnog ulaska u scenu.
Abstract (english)
Implementation of a robust multiple face tracking system based on template matching via normalized cross correlation and memory organized as a LIFO for tracking re-establishment.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:207190
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2019-03-13 18:35:51
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