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master's thesis
Prepoznavanje osoba u stvarnom vremenu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:548583
Kesić, Dario
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Kesić, D. (2016). Prepoznavanje osoba u stvarnom vremenu (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:548583

Kesić, Dario. "Prepoznavanje osoba u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:548583

Kesić, Dario. "Prepoznavanje osoba u stvarnom vremenu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:548583

Kesić, D. (2016). 'Prepoznavanje osoba u stvarnom vremenu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:548583

Kesić D. Prepoznavanje osoba u stvarnom vremenu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:548583

D. Kesić, "Prepoznavanje osoba u stvarnom vremenu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:548583

Metadata
TitlePrepoznavanje osoba u stvarnom vremenu
Title (english)Real-time person identification
AuthorDario Kesić
MentorČaslav Livada (mentor)
Committee memberČaslav Livada (predsjednik povjerenstva)
Committee memberIrena Galić (član povjerenstva)
Committee memberJosip Job (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2016-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
Mnoge institucije poput policije, obavještajnih agencija i graničnih prijelaza danas imaju razvijene sustave za prepoznavanje lica. Društvene mreže također imaju vlastite sustave za prepoznavanje lica. Svake se godine javljaju sve veće potrebe za ovakvim sustavima i sve je više problema potrebno rješavati. Algoritmi koje koriste ovakvi sustavi mogu biti jako komplicirani pa je potrebno dosta ljudi da razviju kvalitetan sustav koji će raditi bez pogreške. U ovom radu opisan je sustav koji radi prepoznavanje lica u stvarnom vremenu putem web kamere. U sustav je prvo potrebno unijeti fotografije osoba i spremiti karakteristike svakog lica. Nakon toga sustav je spreman za prepoznavanje lica.
Abstract (english)
Many agencies like the police, intelligence agencies, border crossings today have developed systems for face recognition. Social networks also have their own systems for face recognition. Every year occur the growing need for these systems and more problems is the need to solve. Algorithms that use these systems can be very complicated but it takes a lot of people to develop a quality system that will work without errors. This paper describes a system that does face recognition in real time via webcam. First, photographs of persons need to be loaded into the system and features of each face saved. After that, the system is ready to recognize faces.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:548583
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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 conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-12-01 10:14:51