Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation

© 2016 IEEE. Automatic tracking vehicle in urban traffic video surveillance is a challenging problem in computer vision. Although many issues have been solved, some are still unsolved, such as video surveillance problem of complex traffic intersection in congested condition. In this paper, we develo...

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Main Authors:	Pakpoom Prommool, Sansanee Auephanwiriyakul, Nipon Theera-Umpon
Format:	Conference Proceeding
Published:	2018
Subjects:	Engineering Mathematics Agricultural and Biological Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018996613&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46668
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-46668
record_format	dspace
spelling	th-cmuir.6653943832-466682018-04-25T07:25:35Z Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation Pakpoom Prommool Sansanee Auephanwiriyakul Nipon Theera-Umpon Engineering Mathematics Agricultural and Biological Sciences © 2016 IEEE. Automatic tracking vehicle in urban traffic video surveillance is a challenging problem in computer vision. Although many issues have been solved, some are still unsolved, such as video surveillance problem of complex traffic intersection in congested condition. In this paper, we develop a vehicle counting system using a motion estimation with Taylor series approximation with embedded virtual entering and exiting boxes. The result shows that the system provides the counting success rate as high as 100% and the lowest counting rate is 14.29%. The mistakes are from the wrong direction prediction because of the very complex traffic condition. 2018-04-25T06:59:19Z 2018-04-25T06:59:19Z 2017-04-05 Conference Proceeding 2-s2.0-85018996613 10.1109/ICCSCE.2016.7893624 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018996613&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46668
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Engineering Mathematics Agricultural and Biological Sciences
spellingShingle	Engineering Mathematics Agricultural and Biological Sciences Pakpoom Prommool Sansanee Auephanwiriyakul Nipon Theera-Umpon Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
description	© 2016 IEEE. Automatic tracking vehicle in urban traffic video surveillance is a challenging problem in computer vision. Although many issues have been solved, some are still unsolved, such as video surveillance problem of complex traffic intersection in congested condition. In this paper, we develop a vehicle counting system using a motion estimation with Taylor series approximation with embedded virtual entering and exiting boxes. The result shows that the system provides the counting success rate as high as 100% and the lowest counting rate is 14.29%. The mistakes are from the wrong direction prediction because of the very complex traffic condition.
format	Conference Proceeding
author	Pakpoom Prommool Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_facet	Pakpoom Prommool Sansanee Auephanwiriyakul Nipon Theera-Umpon
author_sort	Pakpoom Prommool
title	Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
title_short	Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
title_full	Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
title_fullStr	Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
title_full_unstemmed	Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
title_sort	vision-based automatic vehicle counting system using motion estimation with taylor series approximation
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018996613&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46668
_version_	1681422917169053696

Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation

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