Vehicle Speed Monitoring using Convolutional Neural Networks

Recently, Computer Vision Techniques have been pushing the development of robust traffic monitoring systems. Such methods utilize images captured by video cameras to infer important traffic features, such as vehicle speed and traffic density. Frame Subtraction is currently the most used method to de...

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Veröffentlicht in:	Revista IEEE América Latina 2019-06, Vol.17 (6), p.1000-1008
Hauptverfasser:	Barth, V., de Oliveira, R., de Oliveira, M., do Nascimento, V.
Format:	Artikel
Sprache:	eng ; por
Schlagworte:	Adaptation models Artificial neural networks CNN Computer vision Convolutional neural networks IEEE transactions Image segmentation Monitoring Monitoring systems Neural networks Overspeed Detection Pedestrians Streaming media Subtraction System effectiveness Traffic Analysis Traffic speed Traffic volume Urban Traffic Vehicles Video data
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