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/10213/1/4.pdf
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author Ali Emad Jehad,
Riza Atiq O.K. Rahmat,
author_facet Ali Emad Jehad,
Riza Atiq O.K. Rahmat,
author_sort Ali Emad Jehad,
collection UKM
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.
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spelling ukm.eprints-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
spellingShingle Ali Emad Jehad,
Riza Atiq O.K. Rahmat,
Developing and validating a simulation model for counting and classification of vehicles
title 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_short 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
url http://journalarticle.ukm.my/10213/1/4.pdf
work_keys_str_mv AT aliemadjehad developingandvalidatingasimulationmodelforcountingandclassificationofvehicles
AT rizaatiqokrahmat developingandvalidatingasimulationmodelforcountingandclassificationofvehicles