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master's thesis
Detekcija prisutnosti vozila ugrađenim računalom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. urn:nbn:hr:168:728872
Lipovac, Igor
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Lipovac, I. (2014). Detekcija prisutnosti vozila ugrađenim računalom (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:728872

Lipovac, Igor. "Detekcija prisutnosti vozila ugrađenim računalom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:728872

Lipovac, Igor. "Detekcija prisutnosti vozila ugrađenim računalom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2014. https://urn.nsk.hr/urn:nbn:hr:168:728872

Lipovac, I. (2014). 'Detekcija prisutnosti vozila ugrađenim računalom', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:728872

Lipovac I. Detekcija prisutnosti vozila ugrađenim računalom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2014 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:728872

I. Lipovac, "Detekcija prisutnosti vozila ugrađenim računalom", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:168:728872

Metadata
TitleDetekcija prisutnosti vozila ugrađenim računalom
Title (english)Detecting the vehicle presence by an embedded computer
AuthorIgor Lipovac
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberZoran Kalafatić (član povjerenstva)
Committee memberTomislav Hrkać (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2014-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Detekcija prisutnosti vozila na snimkama s kamere postavljene na urbanim raskrižjima u svrhu automatizacije upravljanja prometom u raskrižju predstavlja zanimljivu alternativu ugrađivanju induktivnih petlji. U sklopu rada ostvaren je i prikazan sustav za detekciju vozila u slikama raskrižja koristeći model pozadine. U radu je dan osvrt na srodnu literaturu. Predstavljeni su jednostupanjski i dvostupanjski modeli pozadine te metode izgradnje modela pozadine temljene na histogramu orijentacije gradijenta, mješavini Gaussovih razdioba i histogramu nijanse. Posebna pažnja posvećena je pristupima za ostvarivanje prilagodljivosti modela, ostvarivanju tolerancije na različite uvjete osvjetljenja te povećanju brzine obrade na ugrađenom računalu. Izvršen je niz validacijskih eskperimenata u svrhu optimiziranja hiperparametara opisanih metoda izgradnje modela pozadine. Ostvareni učinak različitih varijanti modeliranja pozadine te postupka detekcije vrednovan je na ispitnom skupu. Rezultati su predstavljeni nizom tablica i grafova te opširno komentirani.
Abstract (english)
Detecting the vehicle presence in videos obtained by camera placed to record the urban crossroad with the goal of statistical data extraction and automatic traffic control makes an interesting alternative to existing systems of detection that use induction loops. This work explores the vehicle detection system implementation based on the background model. Related work concerning background modelling is discussed. Single stage and two stage background models are described along with background modelling methods based on histograms of oriented gradients, mixture of Gaussians and hue histogram. Special attention was given to approaches for realising adaptability of the model, achieving tolerance to different lighting conditions and increasing the detection process speed on the embedded computer. A set of validation experiments was conducted in order to optimise hyperparameters of described background modelling methods. The actual performance of detection system based on different background models was evaluated on the test set. Results are presented in a series of tables and graphs and discussed in detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:728872
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 10:08:16