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master's thesis
Detekcija osoba temeljena na konvolucijskim modelima
2018. urn:nbn:hr:168:523411
Krivošić, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Krivošić, D. (2018). Detekcija osoba temeljena na konvolucijskim modelima (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:523411

Krivošić, Domagoj. "Detekcija osoba temeljena na konvolucijskim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:523411

Krivošić, Domagoj. "Detekcija osoba temeljena na konvolucijskim modelima." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:523411

Krivošić, D. (2018). 'Detekcija osoba temeljena na konvolucijskim modelima', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:523411

Krivošić D. Detekcija osoba temeljena na konvolucijskim modelima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:168:523411

D. Krivošić, "Detekcija osoba temeljena na konvolucijskim modelima", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:523411

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Metadata
TitleDetekcija osoba temeljena na konvolucijskim modelima
Title (english)Person Detection Based on Convolutional Models
AuthorDomagoj Krivošić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Problem detekcije objekata je jedan od najraširenijih problema u području računalnog vida, a u ovom radu se koncentriramo specifično na detekciju ljudi. Započinjemo teorijskim pregledom algoritama za detekciju gdje prvo opisujemo algoritam koji se ne temelji na konvolucijskim mrežama. Zatim detaljnije opisujemo nekoliko danas popularnih konvolucijskih modela i uspoređujemo ih na problemu detekcije ljudi. Modele uspoređujemo na nekoliko skupova podataka, a osim preciznosti, komentiramo i najčešće pogreške svakog modela uz primjere. Na kraju donosimo zaključke na temelju dobivenih rezultata.
Abstract (english)
Object detection is one of the most widely researched areas in computer vision. In this thesis we focus on person detection. We start by giving a theoretical overview of the object detection algorithms. First, we introduce an algorithm that is not based on convolutional neural networks. We continue by describing today's most popular convolutional models and we compare them on person detection task. The models are evaluated on several datasets and the results are compared. Finally we identify the most common errors for each model and provide a conclusion based on the results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:523411
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
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Created on2019-03-13 21:59:04