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

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:
Computer Science
Engineering
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018996613&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/57088
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Institution: Chiang Mai University
id th-cmuir.6653943832-57088
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spelling th-cmuir.6653943832-570882018-09-05T03:44:53Z Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation Pakpoom Prommool Sansanee Auephanwiriyakul Nipon Theera-Umpon Computer Science Engineering Mathematics © 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. 2018-09-05T03:34:55Z 2018-09-05T03:34:55Z 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/6653943832/57088
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Engineering
Mathematics
spellingShingle Computer Science
Engineering
Mathematics
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/6653943832/57088
_version_ 1681424813487292416

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