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undergraduate thesis
Detekcija objekata u zračnim snimkama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:637370
Tokić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tokić, M. (2018). Detekcija objekata u zračnim snimkama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:637370

Tokić, Marin. "Detekcija objekata u zračnim snimkama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:637370

Tokić, Marin. "Detekcija objekata u zračnim snimkama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:637370

Tokić, M. (2018). 'Detekcija objekata u zračnim snimkama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:637370

Tokić M. Detekcija objekata u zračnim snimkama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:637370

M. Tokić, "Detekcija objekata u zračnim snimkama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:637370

Metadata
TitleDetekcija objekata u zračnim snimkama
Title (english)Object Detection in Aerial Images
AuthorMarin Tokić
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberDarijan Marčetić (član povjerenstva)
Committee memberIvan Krešo (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Polje računalnog vida je doživjelo značajan razvoj u posljednim godinama. Interes za poljem je porasao kada se ispostavilo da efektivno može riješavati kompleksne probleme detekcije i klasifikacije. Dok se dijelovi računalnog vida koji su povezani sa prometom i autonomnim vozilima brzo razvijaju, dijelovi poput detekcija u zračnim i satelitskim snimkama kasne za ostalim područjima. U radu razlažemo probleme detekcija objekata u zračnim snimkama. Predlažemo pristup riješavanju problema primjenom HOG deskriptora i SVM-a. Opisujemo postupak treniranja, detekcije i evaluacije detekcija na konkretnom primjeru. Konačno, analiziramo performanse pristupa za različite vrste objekata.
Abstract (english)
The field of computer vision has undergone significant development in recent years. The interest in the field grew when it turned out to be effective in solving complex detection and classification problems. While computer vision-related parts, that are related to traffic and autonomous vehicles, are rapidly evolving, parts such as object detection in aerial and satellite images are lagging behind other areas. The paper discusses the problems of detecting objects in aerial images. We propose a solution to the problem by using the HOG descriptor and SVM. We describe the training, detection and evaluation on a concrete example. Finally, we analyze the performance of the method on different types of objects.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:637370
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-14 01:33:19