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master's thesis
Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. urn:nbn:hr:235:979223
Lovreković, Lora
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Lovreković, L. (2023). Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:979223

Lovreković, Lora. "Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:979223

Lovreković, Lora. "Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2023. https://urn.nsk.hr/urn:nbn:hr:235:979223

Lovreković, L. (2023). 'Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:979223

Lovreković L. Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2023 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:979223

L. Lovreković, "Vizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:235:979223

Metadata
TitleVizijski sustav za prebrojavanje osoba temeljen na YOLOv8 modelu za prepoznavanje objekata
Title (english)A vision system for counting people based on the YOLOv8 object recognition model
AuthorLora Lovreković
MentorTomislav Stipančić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2023-07-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Razvitak računalnog vida, grane dubokog učenja, zadnjih je godina doveo do napretka u području prepoznavanja objekata, koje računalima omogućuje identifikaciju, klasifikaciju i lokaciju objekata na slikama i videima. Za prepoznavanje objekata u ovome je radu korišten YOLOv8 algoritam, te je implementiran i model DeepSORT za praćenje objekata. U ovome radu prepoznavanje i praćenje bit će primijenjeno na ljudske osobe, koje će u konačnici biti prebrojane na temelju svojih kretanja. Nakon što se model primijeni na nekoliko primjera, slijedi analiza rezultata i prostori za poboljšanje rada modela.
Abstract (english)
The development of computer vision, a branch of deep learning, in the last years has led to development of object detection, that enables computers to identify, classify and localize objects in photos and videos. In this paper, YOLOv8 algorithm is used to detect objects and the DeepSORT model for object tracking is implemented as well. Detection and tracking in this paper will be applied to people, who are going to be counted based on their movements. After the model has been applied to several examples, results will be analyzed and space for improvements will be presented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:979223
Study programmeTitle: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechatronics and Robotics, Autonomous Systems
Course: Autonomous Systems
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-07-14 09:13:42