Vehicle speed detection in video image sequences using CVS method

Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary c...

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Main Authors: Karim, Mohamed Rehan, Dehghani, A.
Format: Article
Language:English
Published: Academic Journals 2010
Subjects:
Online Access:http://eprints.um.edu.my/8775/1/Vehicle_speed_detection_in_video_image_sequences_using_CVS_method.pdf
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author Karim, Mohamed Rehan
Dehghani, A.
author_facet Karim, Mohamed Rehan
Dehghani, A.
author_sort Karim, Mohamed Rehan
collection UM
description Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary camera which is mounted on a freeway. The camera was calibrated based on geometrical equations that were supported directly by using references. Camera calibration for exact measurements may be possible while accurate speed estimation can still be quite difficult to achieve. The designed system has the ability to be extended to another related traffic application. The average error of the detected vehicle speed was ± 7 km/h and the experiment was operated at different resolutions and different video sequences.
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spelling um.eprints-87752019-03-20T08:22:27Z http://eprints.um.edu.my/8775/ Vehicle speed detection in video image sequences using CVS method Karim, Mohamed Rehan Dehghani, A. TA Engineering (General). Civil engineering (General) Video and image processing has been used for traffic surveillance, analysis and monitoring of traffic conditions in many cities and urban areas. This paper aims to present another approach to estimate the vehicles velocity. In this study, the captured traffic movies are collected with a stationary camera which is mounted on a freeway. The camera was calibrated based on geometrical equations that were supported directly by using references. Camera calibration for exact measurements may be possible while accurate speed estimation can still be quite difficult to achieve. The designed system has the ability to be extended to another related traffic application. The average error of the detected vehicle speed was ± 7 km/h and the experiment was operated at different resolutions and different video sequences. Academic Journals 2010 Article PeerReviewed application/pdf en http://eprints.um.edu.my/8775/1/Vehicle_speed_detection_in_video_image_sequences_using_CVS_method.pdf Karim, Mohamed Rehan and Dehghani, A. (2010) Vehicle speed detection in video image sequences using CVS method. International Journal of the Physical Sciences, 5 (17). pp. 2555-2563. ISSN 1992-1950, http://www.scopus.com/inward/record.url?eid=2-s2.0-79751489947&partnerID=40&md5=9f271f603b5d67b4e3047b4c135af497 http://umexpert.um.edu.my/file/publication/0000314564925.pdf
spellingShingle TA Engineering (General). Civil engineering (General)
Karim, Mohamed Rehan
Dehghani, A.
Vehicle speed detection in video image sequences using CVS method
title Vehicle speed detection in video image sequences using CVS method
title_full Vehicle speed detection in video image sequences using CVS method
title_fullStr Vehicle speed detection in video image sequences using CVS method
title_full_unstemmed Vehicle speed detection in video image sequences using CVS method
title_short Vehicle speed detection in video image sequences using CVS method
title_sort vehicle speed detection in video image sequences using cvs method
topic TA Engineering (General). Civil engineering (General)
url http://eprints.um.edu.my/8775/1/Vehicle_speed_detection_in_video_image_sequences_using_CVS_method.pdf
work_keys_str_mv AT karimmohamedrehan vehiclespeeddetectioninvideoimagesequencesusingcvsmethod
AT dehghania vehiclespeeddetectioninvideoimagesequencesusingcvsmethod