Traffic analysis of low and ultra-low frame-rate videos

Traffic analysis of low and ultra-low frame-rate videos

Abstract: Nowadays, traffic analysis are relying on data collected from various traffic sensors. Among the various traffic surveillance techniques, video surveillance systems are often used for monitoring and characterizing traffic load. In this thesis, we focused on two aspects of traffic analysis...

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Bibliographic Details
Main Author: Luo, Zhiming
Other Authors: Jodoin, Pierre-Marc
Language:English
Published: Université de Sherbrooke 2017
Subjects:
Traffic analysis
Traffic density
Video surveillance
Vehicle localization
Vehicle classification
Saliency detection
Deep learning
Convolutional neural networks
Analyse de trafic routier
Densité de trafic
Surveillance vidéo
Classification de véhicule
Apprentissage profond
Réseaux à convolution
Online Access:http://hdl.handle.net/11143/11854

Internet

http://hdl.handle.net/11143/11854

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