Traffic flow estimation with data from a video surveillance camera

• Published in: Journal of big data Vol. 6; no. 1; pp. 1 - 15
• Main Authors: Fedorov, Aleksandr, Nikolskaia, Kseniia, Ivanov, Sergey, Shepelev, Vladimir, Minbaleev, Alexey
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 07.08.2019; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Anchors; Big Data; Cameras; Classification; Communications Engineering; Computational Science and Engineering; Computer Science; Convolutional neural network; Counting; Data Mining and Knowledge Discovery; Database Management; Driving; Heuristic methods; Information Storage and Retrieval; Mathematical Applications in Computer Science; Methodology; Networks; Optimization; Surveillance; Surveillance data; 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

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...