Detekcija objekta uz pomoć Web kamere i OpenCV-a

Pačarek, Marko

undergraduate thesis

Detekcija objekta uz pomoć Web kamere i OpenCV-a

Pačarek, Marko (2017)

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Cite this document

APA 6th Edition

Pačarek, M. (2017). Detekcija objekta uz pomoć Web kamere i OpenCV-a (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:325936

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 10 August 2020, https://urn.nsk.hr/urn:nbn:hr:200:325936

Vancouver

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 2020 August 10] Available at: https://urn.nsk.hr/urn:nbn:hr:200:325936

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:325936

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Metadata

Title	Detekcija objekta uz pomoć Web kamere i OpenCV-a
Title (english)	Object detection using Web camera and OpenCV
Author	Marko Pačarek
Mentor	Irena Galić (mentor)
Mentor	Krešimir Vdovjak (mentor)
Committee member	Irena Galić (predsjednik povjerenstva)
Committee member	Zdravko Krpić (član povjerenstva)
Committee member	Josip Job (član povjerenstva)
Granter	Josip 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 country	2017-09-27, 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)
Language	croatian
URN:NBN	urn:nbn:hr:200:325936
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2017-11-07 13:52:33