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Vehicle Tracking using Video Cameras

In Malaysia, road crime cases keep increasing days to days and the resolved cases are very minimal. This leads to how importance it is to improve our security system, especially in vehicle‟s surveillance system. In a common security application, human observation plays an important role as they need...

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Main Author: Johnson, Girberth
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/13474/1/girbeth.PDF
http://utpedia.utp.edu.my/13474/
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spelling my-utp-utpedia.134742017-01-25T09:38:12Z http://utpedia.utp.edu.my/13474/ Vehicle Tracking using Video Cameras Johnson, Girberth TK Electrical engineering. Electronics Nuclear engineering In Malaysia, road crime cases keep increasing days to days and the resolved cases are very minimal. This leads to how importance it is to improve our security system, especially in vehicle‟s surveillance system. In a common security application, human observation plays an important role as they need to monitor the camera‟s output on a TV and detect when any expected events occur. However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. The „Vehicles Tracking System Using Video Cameras‟ is the basic solution to those problems. The scope for this project is narrowed down to moving vehicles on the road. The main idea of this project is to track vehicle using their colour properties. Different vehicle‟s image has different colour properties. These colour properties will set as an identification of a vehicle. This identification will be utilised to track down the identified vehicle earlier. MATLAB is utilised for the algorithm development. In MATLAB, background subtraction is performed as to extract the foreground image from the background image. The foreground image will be further analysed and processed to gather as much as data. The data will include the colour properties of the image. The result shows that information stored in colour properties are sufficient to be used for vehicles tracking. Universiti Teknologi Petronas 2013-12 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/13474/1/girbeth.PDF Johnson, Girberth (2013) Vehicle Tracking using Video Cameras. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Johnson, Girberth
Vehicle Tracking using Video Cameras
description In Malaysia, road crime cases keep increasing days to days and the resolved cases are very minimal. This leads to how importance it is to improve our security system, especially in vehicle‟s surveillance system. In a common security application, human observation plays an important role as they need to monitor the camera‟s output on a TV and detect when any expected events occur. However, relying on human‟s eyes is not a reliable system as the technology now allows an automatic detection system. The „Vehicles Tracking System Using Video Cameras‟ is the basic solution to those problems. The scope for this project is narrowed down to moving vehicles on the road. The main idea of this project is to track vehicle using their colour properties. Different vehicle‟s image has different colour properties. These colour properties will set as an identification of a vehicle. This identification will be utilised to track down the identified vehicle earlier. MATLAB is utilised for the algorithm development. In MATLAB, background subtraction is performed as to extract the foreground image from the background image. The foreground image will be further analysed and processed to gather as much as data. The data will include the colour properties of the image. The result shows that information stored in colour properties are sufficient to be used for vehicles tracking.
format Final Year Project
author Johnson, Girberth
author_facet Johnson, Girberth
author_sort Johnson, Girberth
title Vehicle Tracking using Video Cameras
title_short Vehicle Tracking using Video Cameras
title_full Vehicle Tracking using Video Cameras
title_fullStr Vehicle Tracking using Video Cameras
title_full_unstemmed Vehicle Tracking using Video Cameras
title_sort vehicle tracking using video cameras
publisher Universiti Teknologi Petronas
publishDate 2013
url http://utpedia.utp.edu.my/13474/1/girbeth.PDF
http://utpedia.utp.edu.my/13474/
_version_ 1739831900971728896
score 13.211869

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