ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS

Traffic surveillance provides crucial data for the operation of intelligent transportation systems. The growing number of cameras in the transport system poses a problem for the efficient processing of surveillance data. Processing of video data for extracting traffic parameters is usually done usin...

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Main Authors: Wieslaw, Marcin Jacek KŁOS
Format: Article
Language:English
Published: Silesian University of Technology 2022-12-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
Online Access:https://sjsutst.polsl.pl/archives/2022/vol117/175_SJSUTST117_2022_Pamula_Klos.pdf
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author Wieslaw
Marcin Jacek KŁOS
author_facet Wieslaw
Marcin Jacek KŁOS
author_sort Wieslaw
collection DOAJ
description Traffic surveillance provides crucial data for the operation of intelligent transportation systems. The growing number of cameras in the transport system poses a problem for the efficient processing of surveillance data. Processing of video data for extracting traffic parameters is usually done using image processing methods and requires substantial processing resources. An alternative way is to transform the video stream and map the traffic parameters using the obtained transform coefficients. Spatiotemporal wavelet transform of the video stream contents, using filter banks, is proposed for mapping traffic parameters. Performed tests prove good resilience to illumination changes of road scenes. Mapping errors are smaller than in the case of the commonly used video detectors at sites on multilane roads with low to moderate traffic load.
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spelling doaj.art-c91b6a1603914676b8b202ec0ba11ba92023-06-01T10:34:06ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492022-12-0111717518910.20858/sjsutst.2022.117.12ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERSWieslaw 0Marcin Jacek KŁOSPAMULATraffic surveillance provides crucial data for the operation of intelligent transportation systems. The growing number of cameras in the transport system poses a problem for the efficient processing of surveillance data. Processing of video data for extracting traffic parameters is usually done using image processing methods and requires substantial processing resources. An alternative way is to transform the video stream and map the traffic parameters using the obtained transform coefficients. Spatiotemporal wavelet transform of the video stream contents, using filter banks, is proposed for mapping traffic parameters. Performed tests prove good resilience to illumination changes of road scenes. Mapping errors are smaller than in the case of the commonly used video detectors at sites on multilane roads with low to moderate traffic load.https://sjsutst.polsl.pl/archives/2022/vol117/175_SJSUTST117_2022_Pamula_Klos.pdfvideo surveillancediscrete wavelet transformstraffic flowtraffic densityintelligent transportation systems
spellingShingle Wieslaw
Marcin Jacek KŁOS
ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
Scientific Journal of Silesian University of Technology. Series Transport
video surveillance
discrete wavelet transforms
traffic flow
traffic density
intelligent transportation systems
title ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
title_full ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
title_fullStr ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
title_full_unstemmed ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
title_short ON SITE PROCESSING OF VIDEO STREAM FOR MAPPING TRAFFIC PARAMETERS
title_sort on site processing of video stream for mapping traffic parameters
topic video surveillance
discrete wavelet transforms
traffic flow
traffic density
intelligent transportation systems
url https://sjsutst.polsl.pl/archives/2022/vol117/175_SJSUTST117_2022_Pamula_Klos.pdf
work_keys_str_mv AT wieslaw onsiteprocessingofvideostreamformappingtrafficparameters
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