master's thesis
Real-time person identification

Dario Kesić (2016)
Sveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Zavod za programsko inženjerstvo
Katedra za vizualno računarstvo
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)
GranterSveučilište Josipa Jurja Strossmayera u Osijeku
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Lower level organizational unitsZavod za programsko inženjerstvo
Katedra za vizualno računarstvo
PlaceOsijek
StateCroatia
Scientific field, discipline, subdisciplineTECHNICAL SCIENCES
Computing
Program Engineering
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:200:357365
CommitterAnka Ovničević