Cover Image

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...

Full description

Saved in:
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
http://eprints.utm.my/id/eprint/33756/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70114?site_name=Restricted Repository
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.33756
record_format eprints
spelling my.utm.337562018-04-27T01:26:54Z http://eprints.utm.my/id/eprint/33756/ Vehicle type classification based on frontal profile 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/33756/5/SangkeethaSubramaniamMFKE2012.pdf Sangkeetha, Subramaniam (2012) Vehicle type classification based on frontal profile. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70114?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2012
url http://eprints.utm.my/id/eprint/33756/5/SangkeethaSubramaniamMFKE2012.pdf
http://eprints.utm.my/id/eprint/33756/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70114?site_name=Restricted Repository
_version_ 1643649421332709376
score 13.211869

Similar Items