Vehicle type classification based on frontal profile

Vehicle recognition and classification is useful to many traffic management activities and is one of the important technologies in Intelligent Transportation System (ITS). Automatic toll collection, vehicle access control, traffic forecast and volume, congestion management and speed monitoring are s...

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Bibliographic Details
Main Author:	Sangkeetha, Subramaniam
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TL Motor vehicles Aeronautics Astronautics
Online Access:	http://eprints.utm.my/id/eprint/33756/5/SangkeethaSubramaniamMFKE2012.pdf
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id	my-utm-ep.33756
record_format	uketd_dc
spelling	my-utm-ep.337562018-04-27T01:26:54Z Vehicle type classification based on frontal profile 2012-06 Sangkeetha, Subramaniam TL Motor vehicles. Aeronautics. Astronautics Vehicle recognition and classification is useful to many traffic management activities and is one of the important technologies in Intelligent Transportation System (ITS). Automatic toll collection, vehicle access control, traffic forecast and volume, congestion management and speed monitoring are some of the systems that have a need to classify the vehicle types. This project highlights the potential use of vehicle dimensions and shape information for the vehicle type classification. The system profiles the frontal view of the vehicles and extracts the basic outline shapes and geometrical parameters and compares against the stored specification for each class. The design utilizes Hough line detection algorithm to identify the location of vehicle properties that needs to be extracted. Input to the system is a static image of vehicle frontal view. The image is processed through various image processing methods namely; median filtering, morphological reconstruction, edge detection and Hough transform. Finally, the designed system is able to determine and classify various vehicle types into three major classes; car, bus and truck. This design is a useful support system to existing Plate Number Recognition System (PNRS) which will help to increase the accuracy of the results obtained. 2012-06 Thesis http://eprints.utm.my/id/eprint/33756/ http://eprints.utm.my/id/eprint/33756/5/SangkeethaSubramaniamMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70114?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TL Motor vehicles Aeronautics Astronautics
spellingShingle	TL Motor vehicles Aeronautics Astronautics Sangkeetha, Subramaniam Vehicle type classification based on frontal profile
description	Vehicle recognition and classification is useful to many traffic management activities and is one of the important technologies in Intelligent Transportation System (ITS). Automatic toll collection, vehicle access control, traffic forecast and volume, congestion management and speed monitoring are some of the systems that have a need to classify the vehicle types. This project highlights the potential use of vehicle dimensions and shape information for the vehicle type classification. The system profiles the frontal view of the vehicles and extracts the basic outline shapes and geometrical parameters and compares against the stored specification for each class. The design utilizes Hough line detection algorithm to identify the location of vehicle properties that needs to be extracted. Input to the system is a static image of vehicle frontal view. The image is processed through various image processing methods namely; median filtering, morphological reconstruction, edge detection and Hough transform. Finally, the designed system is able to determine and classify various vehicle types into three major classes; car, bus and truck. This design is a useful support system to existing Plate Number Recognition System (PNRS) which will help to increase the accuracy of the results obtained.
format	Thesis
qualification_level	Master's degree
author	Sangkeetha, Subramaniam
author_facet	Sangkeetha, Subramaniam
author_sort	Sangkeetha, Subramaniam
title	Vehicle type classification based on frontal profile
title_short	Vehicle type classification based on frontal profile
title_full	Vehicle type classification based on frontal profile
title_fullStr	Vehicle type classification based on frontal profile
title_full_unstemmed	Vehicle type classification based on frontal profile
title_sort	vehicle type classification based on frontal profile
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/33756/5/SangkeethaSubramaniamMFKE2012.pdf
_version_	1747816177435934720

Vehicle type classification based on frontal profile

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