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Title:AVTOMATSKO ŠTETJE PROMETA IZ VIDEO-SLIKOVNEGA MATERIALA
Authors:ID Celan, Boštjan (Author)
ID Šraml, Matjaž (Mentor) More about this mentor... New window
ID Podbreznik, Peter (Comentor)
Files:.pdf MAG_Celan_Bostjan_2015.pdf (2,14 MB)
MD5: F93F1127CCD60BBE6925C7A3C98CEF70
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:Štetje vozil na prometni infrastrukturi je obsežno področje, za katero obstaja na svetovnem tržišču mnogo rešitev. A te rešitve so praviloma finančno nedostopne majhnim podjetjem in različnim institucijam. Razvoj sistema avtomatskega štetja prometa s pomočjo video-slikovnega materiala v realnem času, ki za svoje delovanje ne potrebuje drage opreme in fizično ne posega v prometno infrastrukturo, je rešitev za prej omenjene težave. Sistem deluje na način primerjave zaporednih slik video posnetka. Z odštevanjem zaporednih slik odstrani ozadje in določi objekt v opazovanem območju. S pomočjo koordinat na novo določenega objekta in virtualne črte ter izračunom povprečnih vrednosti intenzitete slikovnih elementov prešteje vsak objekt znotraj opazovanega območja. Skupaj s tem omogoča osnovno klasifikacijo vozil, ki temelji na prej omenjenem izračunavanju povprečnih vrednosti slikovnih elementov znotraj opazovanega območja. Povprečna natančnost preštevanja vozil, izračunana na podlagi šestih video posnetkov s približno 350 vozili, je 97,5 ± 2,18 %. Klasificiranje osebnih in tovornih vozil je 90,96 ± 0,42 % natančno. Hkrati s tem algoritem pri merjenju hitrosti odstopa v povprečju za 11,88 ± 2,14 % od dejanskih hitrosti vozil. Rezultati testiranja preštevanja urejenega prometnega toka pešcev pokažejo 90,91 % natančnost.
Keywords:prometno inženirstvo, avtomatsko štetje prometa, klasifikacija vozil, štetje prometa z video-slikovnim materialom
Place of publishing:Maribor
Publisher:[B. Celan]
Year of publishing:2015
PID:20.500.12556/DKUM-55281 New window
UDC:656.1.021:004.932(043.2)
COBISS.SI-ID:19488534 New window
NUK URN:URN:SI:UM:DK:LYCPCUOP
Publication date in DKUM:28.10.2015
Views:2107
Downloads:246
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FG
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Secondary language

Language:English
Title:AUTOMATIC REAL TIME TRAFFIC COUNTING FROM VIDEO
Abstract:Traffic counting is a wide area of science and up to now there are various solutions which are mainly financial unavailable for small companies or public institutions. The solution for this disadvantage is development of system of Automatic real time traffic counting from video in real time. System works with comparing the sequence of video frames where background is removed by background subtraction method and object is then defined in ROI. Object in ROI is counted by coordinates of new object, virtual line and average pixel intensity values. Average accuracy of traffic counting is 97,5 ± 2,18 %, determined through six videos with ca. 350 vehicles. Classification of cars and heavy vehicles is 90, 96 ± 0,42 % accurate in average. Moreover, algorithm deviation on measuring speed is 11,88 ± 2,14 %. At the end of master thesis was tested counting of orderly traffic pedestrian flow. Pedestrians was 90,91 % accurate counted.
Keywords:traffic and transportation engineering, automatic traffic counting, vehicle classification, video based traffic counting


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