Developing and validating a simulation model for counting and classification of vehicles

An algorithm system approach has been presented for extracting traffic data using video image processing. While an offline program focuses on extracting vehicles, tracking them and provides the vehicle count for a short period of time. It uses background subtraction, shadow removal, and pixel anal...

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Main Authors:	Ali Emad Jehad, Riza Atiq O.K. Rahmat
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:	http://journalarticle.ukm.my/10213/ http://journalarticle.ukm.my/10213/ http://journalarticle.ukm.my/10213/1/4.pdf

id	ukm-10213
recordtype	eprints
spelling	ukm-102132017-03-15T08:43:14Z http://journalarticle.ukm.my/10213/ Developing and validating a simulation model for counting and classification of vehicles Ali Emad Jehad, Riza Atiq O.K. Rahmat, An algorithm system approach has been presented for extracting traffic data using video image processing. While an offline program focuses on extracting vehicles, tracking them and provides the vehicle count for a short period of time. It uses background subtraction, shadow removal, and pixel analysis for extracting moving objects. The results show that the algorithm is capable of counting 95% of the vehicles due to some shaking in the video feed. These data have been analyzed by statistical regression to show the credibility of the results which been approved to be useful according to the value of R Square and Significance F compared with the value of the observation method. Also, the classification of vehicles was performed using the improfile command in Matlab-Video Image Processing that computes the intensity values along a line or a multiline path in an image. The algorithm program was developed to detect vehicles in traffic videos and get the vehicle count for the small time period as an assistance tool for a researcher who seeks vehicle counting. Penerbit Universiti Kebangsaan Malaysia 2016 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10213/1/4.pdf Ali Emad Jehad, and Riza Atiq O.K. Rahmat, (2016) Developing and validating a simulation model for counting and classification of vehicles. Jurnal Kejuruteraan, 28 . pp. 29-35. ISSN 0128-0198 http://www.ukm.my/jkukm/?page_id=2011
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	An algorithm system approach has been presented for extracting traffic data using video image processing. While an offline program focuses on extracting vehicles, tracking them and provides the vehicle count for a short period of time. It uses background subtraction, shadow removal, and pixel analysis for extracting moving objects. The results show that the algorithm is capable of counting 95% of the vehicles due to some shaking in the video feed. These data have been analyzed by statistical regression to show the credibility of the results which been approved to be useful according to the value of R Square and Significance F compared with the value of the observation method. Also, the classification of vehicles was performed using the improfile command in Matlab-Video Image Processing that computes the intensity values along a line or a multiline path in an image. The algorithm program was developed to detect vehicles in traffic videos and get the vehicle count for the small time period as an assistance tool for a researcher who seeks vehicle counting.
format	Article
author	Ali Emad Jehad, Riza Atiq O.K. Rahmat,
spellingShingle	Ali Emad Jehad, Riza Atiq O.K. Rahmat, Developing and validating a simulation model for counting and classification of vehicles
author_facet	Ali Emad Jehad, Riza Atiq O.K. Rahmat,
author_sort	Ali Emad Jehad,
title	Developing and validating a simulation model for counting and classification of vehicles
title_short	Developing and validating a simulation model for counting and classification of vehicles
title_full	Developing and validating a simulation model for counting and classification of vehicles
title_fullStr	Developing and validating a simulation model for counting and classification of vehicles
title_full_unstemmed	Developing and validating a simulation model for counting and classification of vehicles
title_sort	developing and validating a simulation model for counting and classification of vehicles
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2016
url	http://journalarticle.ukm.my/10213/ http://journalarticle.ukm.my/10213/ http://journalarticle.ukm.my/10213/1/4.pdf
first_indexed	2023-09-18T19:56:48Z
last_indexed	2023-09-18T19:56:48Z
_version_	1777406583771234304

Developing and validating a simulation model for counting and classification of vehicles

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