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master's thesis
Obrada sonarske slike u svrhu detekcije šake ronioca
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:045188
Guštin, Franka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Guštin, F. (2015). Obrada sonarske slike u svrhu detekcije šake ronioca (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:045188

Guštin, Franka. "Obrada sonarske slike u svrhu detekcije šake ronioca." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:045188

Guštin, Franka. "Obrada sonarske slike u svrhu detekcije šake ronioca." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:045188

Guštin, F. (2015). 'Obrada sonarske slike u svrhu detekcije šake ronioca', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 05 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:045188

Guštin F. Obrada sonarske slike u svrhu detekcije šake ronioca [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 December 05] Available at: https://urn.nsk.hr/urn:nbn:hr:168:045188

F. Guštin, "Obrada sonarske slike u svrhu detekcije šake ronioca", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:045188

Metadata
TitleObrada sonarske slike u svrhu detekcije šake ronioca
Title (english)Sonar image processing for the purpose of diver hand detection
AuthorFranka Guštin
MentorNikola Mišković (mentor)
Committee memberNikola Mišković (predsjednik povjerenstva)
Committee memberZoran Vukić (član povjerenstva)
Committee memberMarija Seder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ronioci prilikom svojih misija djeluju u opasnom i slabo nadziranom okruženju gdje i najmanji neočekivani tehnički kvarovi ili nedostatak pažnje mogu dovesti do katastrofalnih posljedica. Iz tog se razloga koriste autonomne podvodne ronilice koje pomažu roniocu na misijama i prate njegovo fizičko i psihičko stanje. U radu je implementiran sustav koji na temelju sonarske slike detektira šaku ronioca i određuje broj ispruženih prstiju te tako omogućava interakciju između ronioca i ronilice. S obzirom na ograničenja uzrokovana kvalitetom sonarske snimke, za detekciju šake ronioca odabran je algoritam Viole i Jonesa koji se temelji na Haarovim značajkama. Drugi dio zadatka predstavlja određivanje broja ispruženih prstiju, te su za tu svrhu implementirana dva algoritma: stroj s potpornim vektorima i metoda konveksne ljuske. Algoritmi su testirani na dostupnim sonarskim snimkama.
Abstract (english)
Divers operate in harsh and poorly monitored environments in which the slightest unexpected technical malfunction or lack of attention can result in catastrophic consequences. To overcome this problem, autonomous underwater vehicles are used, which help divers on underwater missions and monitor their physical state and actions. To achieve interaction between diver and autonomous vehicle, hand detection and gesture classification system based on sonar image is implemented. Due to the limitations caused by the quality of sonar image, for hand detection is chosen Viola and Jones algorithm based on Haar features. For gesture classification problem, two algorithms are implemented: support vector machine and convex hull method. Algorithms are tested on available sonar recordings.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:045188
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 09:06:29