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master's thesis
Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke
2014. urn:nbn:hr:168:076893
Glavak, Mario
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Glavak, M. (2014). Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:076893

Glavak, Mario. "Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:076893

Glavak, Mario. "Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:076893

Glavak, M. (2014). 'Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:076893

Glavak M. Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 November 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:076893

M. Glavak, "Sustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:076893

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Metadata
TitleSustav za praćenje dlana i raspoznavanje jednostavnih gesti ruke
Title (english)Hand tracking and simple gesture recognition system
AuthorMario Glavak
MentorZoran Kalafatić (mentor)
Committee memberZoran Kalafatić (predsjednik povjerenstva)
Committee memberAnte Đerek (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovome radu prikazani su postupci detekcije i raspoznavanja gesti u video sekvencama snimljenima web kamerom. Slike video zapisa se analiziraju pomoću implementiranih metoda iz OpenCV biblioteke (uz korištenje EmguCV .NET wrappera) nizom transformacija. Opisana je i metoda učenja kaskade klasifikatora uz korištenje AdaBoost algoritma i Haarovih značajki. Predstavljeni su opisi korištenih metoda uz primjere zajedno s problemima na koje se naišlo. Također predložena su dodatna rješenja za neke od problema.
Abstract (english)
This work presents methods for detection and recognition of hand gestures in video captured by web camera. Video frames are analyzed by multiple transformations using already implemented methods from OpenCV library (with help from EmguCV .NET wrapper). The method for learning cascade of classifiers by using AdaBoost algorithm and Haar like features is also described. Furthermore, the methods are described and ilustrated on examples. The encountered problems are discussed and a few solutions are introduced for some of the problems.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:076893
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
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2018-02-06 08:54:17