Video-based road traffic monitoring and prediction using dynamic Bayesian networks (Englisch)
Freier Zugriff
- Neue Suche nach: Chaudhary, Shraddha
- Neue Suche nach: Indu, Sreedevi
- Neue Suche nach: Chaudhury, Santanu
- Neue Suche nach: Chaudhary, Shraddha
- Neue Suche nach: Indu, Sreedevi
- Neue Suche nach: Chaudhury, Santanu
In:
IET Intelligent Transport Systems
;
12
, 3
;
169-176
;
2018
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Video-based road traffic monitoring and prediction using dynamic Bayesian networks
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Beteiligte:
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Erschienen in:IET Intelligent Transport Systems ; 12, 3 ; 169-176
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:15.02.2018
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Format / Umfang:8 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:STIPs , video-based road traffic monitoring system , belief networks , moving vehicles , road conditions , chaotic traffic , traffic planning , road traffic , feature extraction , mixture models , Gaussian mixture model , video stream , spatio-temporal interest points , weather conditions , video signal processing , Gaussian processes , computerised monitoring , predicted road state information , specific time delay , spatial interest points , video streaming , road state pattern , unstructured traffic , Bayes methods , Synchro Studio simulator , video-based road traffic prediction scheme , dynamic Bayesian networks , traffic engineering computing
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
Inhaltsverzeichnis – Band 12, Ausgabe 3
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