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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Format: | Article |
Language: | English |
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Silesian University of Technology
2022-12-01
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Series: | Scientific Journal of Silesian University of Technology. Series Transport |
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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. |
first_indexed | 2024-03-13T08:02:34Z |
format | Article |
id | doaj.art-c91b6a1603914676b8b202ec0ba11ba9 |
institution | Directory Open Access Journal |
issn | 0209-3324 2450-1549 |
language | English |
last_indexed | 2024-03-13T08:02:34Z |
publishDate | 2022-12-01 |
publisher | Silesian University of Technology |
record_format | Article |
series | Scientific Journal of Silesian University of Technology. Series Transport |
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 AT marcinjacekkłos onsiteprocessingofvideostreamformappingtrafficparameters |