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master's thesis
Detekcija i praćenje objekata u dubinskim snimkama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:198694
Mijatović, Marko
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Mijatović, M. (2016). Detekcija i praćenje objekata u dubinskim snimkama (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:198694

Mijatović, Marko. "Detekcija i praćenje objekata u dubinskim snimkama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:198694

Mijatović, Marko. "Detekcija i praćenje objekata u dubinskim snimkama." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:198694

Mijatović, M. (2016). 'Detekcija i praćenje objekata u dubinskim snimkama', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:198694

Mijatović M. Detekcija i praćenje objekata u dubinskim snimkama [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:198694

M. Mijatović, "Detekcija i praćenje objekata u dubinskim snimkama", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:198694

Metadata
TitleDetekcija i praćenje objekata u dubinskim snimkama
Title (english)Object detection and tracking from depth image sequences
AuthorMarko Mijatović
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberDavor Petrinović (član povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad bavi se detekcijom i izdvajanjem osoba iz dubinskih snimki. Za snimanje je korištena Kinect v2 dubinska kamera. Opisan je način rada dubinske kamere, te osnove rada u razvojnom okruženju Unity3D. U radu su opisani algoritmi za dobivanje osnovnog „green screen“ efekta, te za daljnju obradu maske osobe. Svi navedeni algoritmi za obradu maske izvršavaju se na grafičkoj kartici, te su pritom objašnjene osnove korištenja sjenčara i njihova uporaba u obradi slike unutar Unity okruženja. Programsko rješenje implementirano je u Unity3D okruženju. Za pristup podacima Kinect senzora korišten je Kinect SDK za Windows platformu. Uz osvrt na sam programski kôd, prikazani su i rezultati implementacije.
Abstract (english)
This paper describes human detection and background subtraction from infrared depth images. Images are taken using Kinect v2 sensor. Paper describes depth imaging technologies and basics of working within Unity3D programming environment. Basic algorithms for achieving green screen effect, and more complex algorithms for user mask refinement are also described within this document. All mentioned algorithms use the graphics card for image processing, therefor this work also explains shader basics within the Unity3D environment and image processing via shaders. The solution is implemented using the Unity3D framework. For accessing the depth sensor data we used Kinect SDK for Windows platform which is available as Unity plugin. This paper contains relevant programming code along with the achieved results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:198694
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 10:41:43