CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS
The paper presents a method of classification of road traffic conditions based on the analysis of the content of images of the traffic flow. The view of the traffic lanes with vehicles is treated as a texture, while the change in the description of its characteristics is ascribed to the change in t...
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| Format: | Article |
| Language: | English |
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Silesian University of Technology
2016-09-01
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| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
| Subjects: | |
| Online Access: | http://sjsutst.polsl.pl/archives/2016/vol92/101_SJSUTST92_2016_Pamula.pdf |
| _version_ | 1818458564007559168 |
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| author | Teresa PAMUŁA |
| author_facet | Teresa PAMUŁA |
| author_sort | Teresa PAMUŁA |
| collection | DOAJ |
| description | The paper presents a method of classification of road traffic
conditions based on the analysis of the content of images of the traffic flow. The view of the traffic lanes with vehicles is treated as a texture, while the change in the description of its characteristics is ascribed to the change in the density of traffic. Four classes of conditions are determined on the basis of the values of Haralick texture features. An MLP network is used for classification. Video data, which were registered by an UAV hanging over a traffic junction, are used for validation of the method. |
| first_indexed | 2024-12-14T23:00:27Z |
| format | Article |
| id | doaj.art-acdbece8aa0b48cb900d082991e52988 |
| institution | Directory Open Access Journal |
| issn | 0209-3324 2450-1549 |
| language | English |
| last_indexed | 2024-12-14T23:00:27Z |
| publishDate | 2016-09-01 |
| publisher | Silesian University of Technology |
| record_format | Article |
| series | Scientific Journal of Silesian University of Technology. Series Transport |
| spelling | doaj.art-acdbece8aa0b48cb900d082991e529882022-12-21T22:44:28ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492016-09-019210110910.20858/sjsutst.2016.92.10CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKSTeresa PAMUŁAThe paper presents a method of classification of road traffic conditions based on the analysis of the content of images of the traffic flow. The view of the traffic lanes with vehicles is treated as a texture, while the change in the description of its characteristics is ascribed to the change in the density of traffic. Four classes of conditions are determined on the basis of the values of Haralick texture features. An MLP network is used for classification. Video data, which were registered by an UAV hanging over a traffic junction, are used for validation of the method.http://sjsutst.polsl.pl/archives/2016/vol92/101_SJSUTST92_2016_Pamula.pdftraffic conditionstextures featuresneural networks |
| spellingShingle | Teresa PAMUŁA CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS Scientific Journal of Silesian University of Technology. Series Transport traffic conditions textures features neural networks |
| title | CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS |
| title_full | CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS |
| title_fullStr | CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS |
| title_full_unstemmed | CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS |
| title_short | CLASSIFICATION OF ROAD TRAFFIC CONDITIONS BASED ON TEXTURE FEATURES OF TRAFFIC IMAGES USING NEURAL NETWORKS |
| title_sort | classification of road traffic conditions based on texture features of traffic images using neural networks |
| topic | traffic conditions textures features neural networks |
| url | http://sjsutst.polsl.pl/archives/2016/vol92/101_SJSUTST92_2016_Pamula.pdf |
| work_keys_str_mv | AT teresapamuła classificationofroadtrafficconditionsbasedontexturefeaturesoftrafficimagesusingneuralnetworks |