Traffic flow estimation with data from a video surveillance camera

This study addresses the problem of traffic flow estimation based on the data from a video surveillance camera. Target problem here is formulated as counting and classifying vehicles by their driving direction. This subject area is in early development, and the focus of this work is only one of the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of big data Jg. 6; H. 1; S. 1 - 15
Hauptverfasser:	Fedorov, Aleksandr, Nikolskaia, Kseniia, Ivanov, Sergey, Shepelev, Vladimir, Minbaleev, Alexey
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 07.08.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Anchors Big Data Cameras Classification Communications Engineering Computational Science and Engineering Computer Science Convolutional neural network Counting Data Data Mining and Knowledge Discovery Database Management Driving Electronic surveillance Estimation Heuristic Heuristic methods Information Storage and Retrieval Mathematical Applications in Computer Science Methodology Networks Optimization Surveillance Surveillance data Traffic Traffic analysis Traffic flow Traffic flow estimation Traffic surveillance Vehicle detection Vehicles Video data Vehicle detection Traffic analysis Traffic flow estimation Convolutional neural network Surveillance data
ISSN:	2196-1115, 2196-1115
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!