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master's thesis
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Real-time person identification
Dario Kesić (2016)
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing
Cite this document...

Kesić, D. (2016). Prepoznavanje osoba u stvarnom vremenu (Master's thesis). 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 19 February 2019, 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 2019 February 19] 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
AuthorDario Kesić
Mentor(s)Časlav Livada (thesis advisor)
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.
Keywordsface recognition algorithm eigenface system OpenCv Visual studio
Parallel title (English)Real-time person identification
Committee MembersČaslav Livada (committee chairperson)
Irena Galić (committee member)
Josip Job (committee member)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Lower level organizational unitsDepartment of Software Engineering
Chair of Visual Computing
PlaceOsijek
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Computing
Process Computing
Study programme typeuniversity
Study levelgraduate
Study programmeGraduate University Study Programme in Computer Engineering
Academic title abbreviationmag.ing.comp.
Genremaster's thesis
Language Croatian
Defense date2016-09-30
Parallel 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.
Parallel keywords (Croatian)prepoznavanje lica algoritam eigenface sustav OpenCv Visual Studio
Resource typetext
Access conditionOpen access
Terms of usehttp://rightsstatements.org/vocab/InC/1.0/
URN:NBNhttps://urn.nsk.hr/urn:nbn:hr:200:548583