Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics

Cities worldwide use camera systems that collect and store large amounts of images, which are used to study vehicle traffic conditions, facilitating traffic management authorities' decision-making. Typically, the inspection of those images is performed manually, which prevents extracting releva...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 8; S. 12064 - 12073
Hauptverfasser:	Perafan-Villota, Juan C., Mondragon, Oscar H., Mayor-Toro, Walter M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accident detection Accidents Accuracy Algorithms Artificial neural networks Big Data Cameras Clusters Commodities Computer networks Computer vision convolutional neural network Cost analysis Data analysis Data processing Decision making Driving Driving conditions fast processing Feature extraction Hadoop Infrastructure Inspection Intersection over Union (IoU) Kalman filter Kalman filters Low cost Machine learning Maneuvers multi-tracking Neural networks Nodes Platforms smart cities Spark Sparks Traffic Traffic accidents Traffic speed Traffic volume Vehicles Videos You Only Look Once (YOLO)
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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