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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

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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

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

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

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 25 May 2022, https://urn.nsk.hr/urn:nbn:hr:200:226185

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 2022 May 25] Available at: https://urn.nsk.hr/urn:nbn:hr:200:226185

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

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Metadata
TitleProcjena 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
AuthorLuka Ćosić
MentorMario Vranješ (mentor)
Committee memberMario Vranješ (predsjednik povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
Committee memberMarijan Herceg (član povjerenstva)
GranterJosip 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 country2018-09-27, 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)
Languagecroatian
URN:NBNurn:nbn:hr:200:226185
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-10-04 15:36:20