20.500.12556/DKUM-65736 Zaznavanje obrazov v video vsebinah in njihova klasifikacija Detection of faces in video content and their classification Namen magistrskega dela je razviti sistem, ki zna učinkovito zaznati obraz v video vsebinah. Izdelali smo sistem, ki zazna obraz in ga klasificira za nadaljnjo obravnavo v drugih sistemih. Razložili smo proces zaznave in prepoznave obraza, napisali kratek pregled tehnologij in algoritmov, ki se uporabljajo danes. Predstavili smo princip zaznave obraza v video vsebinah, ki je neodvisen od vira video vsebine. Uporabljeni metodi za zaznavo obrazov sta analiza glavnih komponent in razvrščanje značilk s Haarovimi razvrščevalniki. Pri izvedbi sistema zaznave obrazov v video vsebinah smo uporabili funkcije iz knjižnice OpenCV. Sistem je bil razvit v programskem jeziku Python, saj smo želeli ustvariti sistem, ki je med drugim tudi prenosljiv med platformami. Sistem se je med testiranjem izkazal za učinkovitega, z določenimi izboljšavami pa bo koristna osnova za nadaljnjo procesiranje in prepoznavo obrazov. The purpose of the master thesis is to develop a system that is able to effectively detect a face in a video content. We developed a system that detects a face and classifies it for further processing in other systems. We explained the process of perception and facial recognition, wrote a brief overview of technologies and algorithms we use today. We presented the principle of Face Detection in video content that is independent of the video content stream. Used methods for face detection are principal component analysis and classification with Haar cascade classifiers. To create the system for face detection, we used the functions from the OpenCV library. The system was developed in the Python programming language, as we wanted to create a system that is portable between platforms. The experimental results showed that the developed system is efficient and with certain improvements it will be a useful basis for further processing and face recognition. zaznavanje obraza prepoznava obraza analiza glavnih komponent Haarov klasifikator video face detection face recognition principal component analysis Haar classifier video true true false G. Močnik Slovenski jezik Angleški jezik Magistrsko delo/naloga 2017-05-16 22:28:21 2017-05-25 14:22:05 2022-07-09 03:10:25 2019-07-11 15:28:10 2017 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.93'1(043.2) 20624150 URN:SI:UM:DK:BWYU0JEQ MAG_Mocnik_Grega_2017.pdf MAG_Mocnik_Grega_2017.pdf 1 DAB5704234CD6411CE91B76F2A45CE72 5a799bf974566d349902bbfc0f59f97db6db3df55e0d42eb9b407e16c0830c7b 236b5d4c-7c0e-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=111406 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0