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undergraduate thesis
Detekcija objekta uz pomoć Web kamere i OpenCV-a
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. urn:nbn:hr:200:325936
Pačarek, Marko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Pačarek, M. (2017). Detekcija objekta uz pomoć Web kamere i OpenCV-a (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:325936

Pačarek, Marko. "Detekcija objekta uz pomoć Web kamere i OpenCV-a." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:325936

Pačarek, Marko. "Detekcija objekta uz pomoć Web kamere i OpenCV-a." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:200:325936

Pačarek, M. (2017). 'Detekcija objekta uz pomoć Web kamere i OpenCV-a', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:325936

Pačarek M. Detekcija objekta uz pomoć Web kamere i OpenCV-a [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2017 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:200:325936

M. Pačarek, "Detekcija objekta uz pomoć Web kamere i OpenCV-a", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:200:325936

Metadata
TitleDetekcija objekta uz pomoć Web kamere i OpenCV-a
Title (english)Object detection using Web camera and OpenCV
AuthorMarko Pačarek
MentorIrena Galić (mentor)
MentorKrešimir Vdovjak (mentor)
Committee memberIrena Galić (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberJosip Job (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2017-09-27, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Zadatak ovog rada bio je napraviti desktop aplikaciju koja će omogućiti detekciju objekta odabrane boje u stvarnom vremenu pomoću Web kamere. Za izradu aplikacije korišten je programski jezik C#, skup biblioteka EmguCV/OpenCV koje služe za pozivanje funkcija koje obuhvaćaju područja računalnog vida te razvojno okruženje Microsoft Visual Studio 2015. Najprije su implementirane biblioteke EmguCV-a u razvojno okruženje kako bi se moglo pristupiti funkcijama računalnog vida. Nakon toga je izrađeno sučelje aplikacije kako bi korisnik imao prikaz detekcije u stvarnom vremenu. Ostatak je realiziran pisanjem C# koda i pozivanjem EmguCV funkcija. Kao rezultat dobivena je desktop aplikacija kojom je moguće detektirati objekte kružnog oblika i pratiti njihovo gibanje. Također je moguće odabrati jednu od šest elementarnih boja koju želimo da aplikacija detektira i prikaže na zaslonu u stvarnom vremenu.
Abstract (english)
The goal of this paper was to make a desktop application that enables a real-time detection of an object of a chosen color using the Web cam. For the realization of the application, a C# programming language was used, as well as the collection of EmguCV/OpenCV libraries (used for the calling of functions that refer to the computer vision) and the Microsoft Visual Studio 2015 developing environment. Firstly, the EmguCV libraries were implemented into the developing environment, in order to have access to the functions of computer vision. Afterwards, the user interface of the application was built, so that the user could have access to the display of the detection in real time. The rest was accomplished by writing the C# code and using the EmguCV functions. The result was a desktop application that enables the detection of circular objects and tracks their motion. Also, it is possible to select any of the six elementary colors that one wants the application to detect and display on the screen in real time.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:325936
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
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
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2017-11-07 13:52:33