prikaz prve stranice dokumenta Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova
Embargo period 2025-09-22
master's thesis
Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova
2023. urn:nbn:hr:166:757148
Maljković, Jelena
University of Split
Faculty of Science
Department of Informatics

Cite this document

Maljković, J. (2023). Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:757148

Maljković, Jelena. "Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:757148

Maljković, Jelena. "Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:757148

Maljković, J. (2023). 'Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova', Master's thesis, University of Split, Faculty of Science, accessed 13 November 2024, https://urn.nsk.hr/urn:nbn:hr:166:757148

Maljković J. Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova [Master's thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 November 13] Available at: https://urn.nsk.hr/urn:nbn:hr:166:757148

J. Maljković, "Usporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova", Master's thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:757148

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Metadata
TitleUsporedba modela za detektiranje objekata i procjenu položaja tijela u svrhu ocjenjivanja cheerdance skokova
Title (english)Comparison of models for object detection and pose estimation for evaluation of cheerdance jumps
AuthorJelena Maljković
MentorSaša Mladenović (mentor)
MentorHrvoje Kalinić (pomoć pri izradi, neposredni voditelj)
Committee memberSaša Mladenović (predsjednik povjerenstva)
Committee memberIvana Marin (član povjerenstva)
Committee memberDino Nejašmić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj diplomskog rada je usporedba modela detekcije objekata i procjene poza za svrhu pouzdane evaluacije cheerdance skokova. Koristeći tehnike transfer learninga, fino podešavamo YOLOv7, Faster R-CNN, OpenPose i YOLO Pose. Ovo istraživanje pruža ključne uvide trenerima, sportašima i istraživačima, usmjeravajući ih kod odabira modela za evaluaciju skokova. Štoviše, naglašava potencijal korištenja transfer learninga za učinkovitu primjenu modela dubinskog učenja, unaprjeđujući evaluaciju izvedbe cheerdance skokova.
Abstract (english)
This thesis conducts an assessment of object detection and pose estimation models for the evaluation of cheerdance jumps. Employing transfer learning techniques, we fine-tune YOLOv7, Faster R-CNN, OpenPose, and YOLO Pose. This research provides insights for coaches, athletes, and researchers, guiding model selection for jump assessment. Moreover, it underscores the potential of transfer learning to adapt deep learning models effectively, advancing cheerdance performance evaluation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:757148
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsEmbargoed access
Embargo expiration date: 2025-09-22
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2023-09-27 09:18:10