Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Automatic vehicle detection and occlusion handling at road intersections
Download
index.pdf
Date
2015
Author
Ülker, Berk
Metadata
Show full item record
Item Usage Stats
213
views
119
downloads
Cite This
Vision based intelligent transport system applications are extensively utilized and researched in recent years. Several applications with tracking, classification and counting functionalities are used for automatization of traffic management. Work in this thesis aims to provide an accurate vehicle detection method for improving performance of these tasks. Vehicle detection starts with detection of moving objects, using a background subtraction algorithm. Then, accuracy of the foreground mask is improvedusingashadowdetectionalgorithm. Occlusionsaredetectedfrombothgeometrical properties of blobs in binary mask, and associations between objects from consecutive observations. A segmentation method based on the assumptions on objectgeometryunderocclusionisproposedandimplemented,todetectvehiclesunder occlusion correctly. Proposed solution is tested on several videos collected from different intersections. Results indicate a significant improvement in performance compared to the existing methods in literature.
Subject Keywords
Vehicle detectors.
,
Traffic engineering
,
Roads
URI
http://etd.lib.metu.edu.tr/upload/12619199/index.pdf
https://hdl.handle.net/11511/24882
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Tracking Reported Vehicles in Traffic Management and Information System using Intelligent Junctions
Elci, Atilla; RAHNAMA, BEHNAM; Amintabar, Amirhasan (2010-05-01)
This study highlights a security scenario involving vehicles in a Traffic Management and Information System (TMIS) network. TMIS and its nodal architecture, nicknamed Intelligent Junction (IJ), are summarized from our recent work. System design sets an example to a software architecture implementing autonomous semantic agents through semantic web services, junction-based sensor networks, local- and wide-area networking through wire/wireless integrated communication infrastructure. It is so construed as to p...
Integrating navigation surveillance of unmanned air vehicles into the civilian national airspaces by using ADS-B applications
Pahsa, Alper; Kaya, Pınar; Alat, Gökçen; Baykal, Buyurman (null; 2011-05-12)
Spatial analysis of two-wheeled vehicles traffic crashes: Osmaniye in Turkey
YALÇIN, GÜLER; Düzgün, Hafize Şebnem (2015-11-01)
To achieve a sustainable traffic management and sustainable transportation planning in urban areas one of the tools that can be used effectively is Geographic Information Systems. In Turkey Transportation Department under Civil Engineering deals with roads and railways which are open to public such as inner city and outer city traffic arrangements with General Directorate of Security. This paper aims to analyze road traffic accident distribution according to the vehicle types involved in the accidents for u...
Estimation of time-dependent link costs using GPS track data
Ünsal, Ahmet Dündar; Usul, Nurünnisa; Department of Geodetic and Geographical Information Technologies (2006)
Intelligent Transport Systems (ITS) are becoming a part of our daily lives in various forms of application. Their success depends highly on the accuracy of the digital data they use. In networks where characteristics change by time, time-based network analysis algorithms provide results that are more accurate. However, these analyses require time-based travel speed data to provide accurate results. Conventionally, traffic data are usually obtained using the data provided from loop-detectors. These detectors...
Moving vehicle classification
Duman, Demet; Akar, Gözde; Department of Electrical and Electronics Engineering (2013)
In recent years intelligent transportation systems have been an active research area in computer vision. The aim of this study is to classify moving vehicles from highway videos taken by stationary uncalibrated cameras. For this study, three types of vehicle classes with different scales are chosen to classify: car, van and truck. The proposed algorithm is composed of foreground/background segmentation, feature extraction and classification steps. In order to classify each vehicle, histogram of oriented gra...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Ülker, “Automatic vehicle detection and occlusion handling at road intersections,” M.S. - Master of Science, Middle East Technical University, 2015.