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Sistem za meritev hitrosti kolesarjev s pomočjo analize videoposnetka
ID Gomilšek, Klemen (Author), ID Ambrož, Miha (Mentor) More about this mentor... This link opens in a new window

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Abstract
Kolesarska infrastruktura je v nekaterih slovenskih mestih zelo slabo razvita. Za ustrezne izboljšave in ugotavljanje problematičnih odsekov potrebujemo analize trenutnega stanja. Eden od pomembnih podatkov pri tem je povprečna hitrost kolesarjev. Naprave za merjenje hitrosti, vgrajene v infrastrukturo, so pogosto drage in jih ni mogoče hitro in enostavno namestiti na zanimiva mesta. Eno od alternativ ponuja analiza slike oziroma videoposnetka. Namen naloge je zasnovati in izdelati programsko opremo za ugotavljanje povprečne hitrosti kolesarjev z videoposnetka na krajših odsekih cest ali kolesarskih stez. S tem bomo dosegli cenejše in hitre analize brez poseganja v trenutno kolesarsko infrastrukturo. Cilj naloge je izdelana programska oprema, ki jo bo mogoče uporabiti na videoposnetkih prostega prometnega toka, posnetih sproti ali predhodno, in z njo ustrezno natančno določiti hitrosti posameznih kolesarjev na posnetku.

Language:Slovenian
Keywords:sistem za meritev, hitrost kolesarjev, analize videoposnetka, umetna inteligenca, OpenCV, analize slike, Python
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[K. Gomilšek]
Year:2020
Number of pages:XXII, 57 str.
PID:20.500.12556/RUL-119368 This link opens in a new window
UDC:629.322:531.767:004.8(043.2)
COBISS.SI-ID:30525443 This link opens in a new window
Publication date in RUL:08.09.2020
Views:696
Downloads:134
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Secondary language

Language:English
Title:System for measuring cyclist travel speed from a video
Abstract:
The cycling infrastructure in some Slovenian cities is very poorly developed. For correct improvements and identification of problematic sections, we need to analyse current situation. One of the most important data is the average speed of cyclists. Speed measuring devices integrated in the infrastructure are often expensive and cannot be quickly moved or installed in interesting places. One of the alternatives is image or video analysis. The purpose of the task is to design and manufacture software to determine the average speed of cyclists from a video on shorter sections of roads or cycle paths. This will achieve cheaper and faster analyses without interfering with the current cycling infrastructure. The goal is to create software that can be used on traffic videos recorded in real time or in advance, and with them accurately determine the speeds of individual riders in the video.

Keywords:system for measuring, cyclist travel speed, video analysis, artificial intelligence, OpenCV, image analysis, Python

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