Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor

Ćosić, Luka

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master's thesis

Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor

2018. urn:nbn:hr:200:226185

Ćosić, Luka

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Chair of Multimedia Systems and Digital Television

Cite this document

APA 6th Edition

Ćosić, L. (2018). Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:226185

MLA 8th Edition

Ćosić, Luka. "Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:226185

Chicago 17th Edition

Harvard

Ćosić, L. (2018). 'Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 March 2021, https://urn.nsk.hr/urn:nbn:hr:200:226185

Vancouver

Ćosić L. Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2021 March 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:226185

IEEE

L. Ćosić, "Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:226185

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:226185

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Metadata

Title	Procjena brzine vozila na temelju snimke kamere koja zamjenjuje retrovizor
Title (english)	Evaluation of the speed of the vehicle based on the camera image that replaces the rearview mirror
Author	Luka Ćosić
Mentor	Mario Vranješ (mentor)
Committee member	Mario Vranješ (predsjednik povjerenstva)
Committee member	Ratko Grbić (član povjerenstva)
Committee member	Marijan Herceg (član povjerenstva)
Granter	Josip Juraj Strossmayer University of Osijek Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (Department of Communications) (Chair of Multimedia Systems and Digital Television) Osijek
Defense date and country	2018-09-27, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U ovom diplomskom radu opisan je algoritam za procjenu brzine vozila koje se vidi u retrovizoru. Algoritam za procjenu brzine vozila sastoji se od predobrade video okvira, detekcije vozila u video okviru, praćenju detektiranog vozila i procjene brzine vozila. Predobradom se osigurava veća brzina obrade video okvira tako što se mijenja veličina video okvira (ukoliko je video okvir velikih dimenzija) i samo se obrađuje dio video okvira u kojem se može pronaći vozilo. Položaj vozila u video okviru dobiva se detekcijom, a praćenje detektiranog vozila između okvira omogućuje veću brzinu obrade. Procjena brzine vozila podijeljena je u dva djela: na procjenu udaljenosti i na procjenu brzine na temelju prevaljenog puta između dva video okvira. Algoritam za procjenu brzine vozila testiran je na jedanaest testnih video sekvenci te su postignuti dosta uspješni rezultati, uz postojanje prostora za napredak u radu algoritma.
Abstract (english)	This paper describes vehicle speed estimation algorithm that can be seen in rearview mirror. The vehicle speed estimation algorithm consists of preprocessing, vehicle detection, tracking vehicle between frames and speed estimation. Preprocessing ensures higher speed of video frame processing by changing the size of the video frame (if frame is large enough) and only processing part of video frame in which vehicle can be found. The position of vehicle in video frame is gained by detection and tracking the detected vehicle between the frames ensures higher processing rate. The vehicle speed estimation is divided into two parts: distance estimation between vehicle and camera and speed estimation based on prevailing distance between two video frames. The Vehicle speed estimation algorithm has been tested in eleven test video sequences and quite successful results have been achieved, with the space for progress in algorithm work.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:226185
Study programme	Title: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering Course: Communications and Informatics Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2018-10-04 15:36:20