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undergraduate thesis
Praćenje gesti korištenjem skrivenih Markovljevih modela
2015. urn:nbn:hr:168:768737
Živković, Vice
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Živković, V. (2015). Praćenje gesti korištenjem skrivenih Markovljevih modela (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:768737

Živković, Vice. "Praćenje gesti korištenjem skrivenih Markovljevih modela." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:768737

Živković, Vice. "Praćenje gesti korištenjem skrivenih Markovljevih modela." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:768737

Živković, V. (2015). 'Praćenje gesti korištenjem skrivenih Markovljevih modela', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:768737

Živković V. Praćenje gesti korištenjem skrivenih Markovljevih modela [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:768737

V. Živković, "Praćenje gesti korištenjem skrivenih Markovljevih modela", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:768737

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Metadata
TitlePraćenje gesti korištenjem skrivenih Markovljevih modela
Title (english)Gesture Tracking using Hidden Markov Models
AuthorVice Živković
MentorZdenko Kovačić (mentor)
Committee memberZdenko Kovačić (predsjednik povjerenstva)
Committee memberDamjan Miklić (član povjerenstva)
Committee memberFrano Petric (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Rad se bavi detekcijom gesti pomoću matematičkog modela naziva skriveni Markovljev model. Pomoću kamera robota i računalnog vida na robotu se dobivaju podaci koji se naknadno kvantiziraju i obrađuju. Nakon toga pomoću velikog broja podataka koji označavaju gestu trenira model geste te stvara granica za prepoznavanje gesti. Pomoću navedene granice i modela omogućeno je detektiranje gesti u realnom vremenu. Testirana je detekcija gesti nad trima gestama definiranima u protokolu o dijagnostici autizma.
Abstract (english)
The main subject of this bachelor thesis is gesture detection by the mathematical implementation of hidden markov models.Through robot’s camera and computer vision we get data that’s additionally processed and quantized.Thanks to a large set of data that corresponds to the defined gesture through learning we define a model for the gesture and the gesture threshold.By using the defined model we enable realtime gesture detection. The gesture detection has been tested on three gestures defined through te autism diagnostic protocol.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:768737
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 14:37:36