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master's thesis
Metode za detekciju osoba u stvarnom vremenu iz niza slika
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:876863
Peroš, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Peroš, M. (2018). Metode za detekciju osoba u stvarnom vremenu iz niza slika (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:876863

Peroš, Matej. "Metode za detekciju osoba u stvarnom vremenu iz niza slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:876863

Peroš, Matej. "Metode za detekciju osoba u stvarnom vremenu iz niza slika." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:876863

Peroš, M. (2018). 'Metode za detekciju osoba u stvarnom vremenu iz niza slika', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:876863

Peroš M. Metode za detekciju osoba u stvarnom vremenu iz niza slika [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 July 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:876863

M. Peroš, "Metode za detekciju osoba u stvarnom vremenu iz niza slika", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:876863

Metadata
TitleMetode za detekciju osoba u stvarnom vremenu iz niza slika
Title (english)Real-Time Methods for People Detection from Video
AuthorMatej Peroš
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Metode za detekciju, pračenje i brojanje osoba i drugih objekata je zanimljivo polje istraživanja zahvaljujući svojim izazovima i važnosti i među krajnjim ciljevima unaprjeđenja i proširenja video nadzora i razumjevanja videozapisa. Metoda za detekciju se sastoji od otkrivanja i prepoznavanja objekata ili osoba u videu i za odeđene aplikacije i primjene kao nadzorna kamere, u stvarnom vremenu. Ovo zadnje prestavlja posebni izazov jer zahtjeva da algoritam radi jadnako brzo kao i brzina samog videozapisa. Iako posoje metode za detekciju objekata koje su u stanju se vrtiti brzinom videozapisa, ubacivanje metode pračenja tih objekata dodaje novu razinu kompleksnosti u cijelu priču. Za detekciju i prepoznavanje osoba i objekata koristimo metode strojnog učenja i neuronskih mreža, s obzirom da postaju sve naprednije i brže u prepoznavanju ljudi i/ili objekata, no u većini slučaja to ne rade u stvarnom vremenu.
Abstract (english)
Methods for detecting, tracking, and counting people and other objects is an interesting field of research thanks to their challenges and importance and as one of the ultimate goals of enhancing and expanding video surveillance and understanding of video. The detection method consists in detecting and recognizing objects or people in the video and for executed applications and applications as a surveillance camera in real-time. This last poses a special challenge because it requires the algorithm to run as fast as the speed of the video itself. Even though there are methods to detect objects that are able to spin at the video rate, inserting the tracking method of these objects adds a new level of complexity to the whole story. We use machine learning methods and neural networks to detect and recognize individuals and objects, since they are becoming more and more rapid in identifying people and / or objects, but in most cases they do not work in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:876863
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
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Created on2019-03-13 23:50:52