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master's thesis
Duboki modeli za detekciju ključnih točaka osoba
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:254160
Matanović, Pavo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matanović, P. (2022). Duboki modeli za detekciju ključnih točaka osoba (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:254160

Matanović, Pavo. "Duboki modeli za detekciju ključnih točaka osoba." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:254160

Matanović, Pavo. "Duboki modeli za detekciju ključnih točaka osoba." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:254160

Matanović, P. (2022). 'Duboki modeli za detekciju ključnih točaka osoba', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:254160

Matanović P. Duboki modeli za detekciju ključnih točaka osoba [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:254160

P. Matanović, "Duboki modeli za detekciju ključnih točaka osoba", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:254160

Metadata
TitleDuboki modeli za detekciju ključnih točaka osoba
Title (english)Deep models for human key-point detection
AuthorPavo Matanović
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-09-19, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Detekcija ključnih točaka osoba važno je područje računalnog vida sa zanimljivim primjenama. Opisanim postupkom moguće je modelirati gotovo sve stupnjeve slobode čovjeka. Prvi dio rada opisuje model Cascaded Pyramid Network koji je dvofazni model, u prvoj fazi se radi detekcija osoba na slikama dok se u drugoj na osnovi detekcije osobe označuju ključne točke. Drugi dio rada opisuje preinaku modela SwiftNet tako da detektira ključne točke. Ideja je bila napraviti model koji ima male memorijske zahtjeve da ga možemo trenirati na dostupnom GPU, a da ima što bolje performanse. Treniranje i evaluaciju problema traženja ključnih točaka osoba provodili smo na skupu MS COCO 2017. Na ispitnom skupu model CPN postiže točnost od 65.4, odnosno 67.1 ako testiramo samo fazu traženja ključnih točaka. Preinačeni model SwiftNet postiže točnost od ?.
Abstract (english)
Human key-point detection is important field of computer vision with interesting applications. Using the described method it is possible to model almost all degrees of freedom on human. The first part of paper describes two-phased model named Cascaded Pyramid Network, where the first phase is human detection while the second phase is key-point detection for detected human crops. The second part of paper describes modified SwiftNet model for key-point detection. Main idea was to make a model with small memory footprint that can be trained on available GPU, while trying to achieve good performance. Training and evaluation was conducted on MS COCO 2017 dataset. On test dataset CPN achieves accuracy of 65.4 and 67.1, respectively with human detector and with original human crops. Modified SwiftNet achieves accuracy of ?.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:254160
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 on2023-01-14 09:29:39