Traffic Flow Estimation from Road Surveillance

Mehboob, Fozia, Abbas, Muhammad, Almotaeryi, Resheed, Jiang, Richard, Al-Maadeed, Somaya and Bouridane, Ahmed (2015) Traffic Flow Estimation from Road Surveillance. In: 2015 IEEE International Symposium on Multimedia (ISM). IEEE, Piscataway, NJ, pp. 605-608. ISBN 978-1-5090-0379-2

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Official URL: http://dx.doi.org/10.1109/ISM.2015.14

Abstract

Real-time traffic analysis using the road mounted surveillance cameras present multitude of benefits. This kind of traffic video processing has become an important means for intelligent traffic management and control. The estimation and analysis of road traffic motion is an involved task in computer vision and video processing. In our work, morphological operations and region growing method are used to perform salient motion detection of objects. In classical background extraction method, the background has to be learnt from large numbers of frames. In our method, no a prior knowledge about shape and size of object is acquired. Instead, sum of square difference is estimated via online learning for the calculation of the centroid distance. The test results indicate that the road vehicles and their statistics are determined through our algorithm with complete fidelity.

Item Type: Book Section
Uncontrolled Keywords: intelligent traffic surveillance, motion tracking, optical flow, smart city, traffic flow estimation
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 09 Jun 2016 12:01
Last Modified: 10 Nov 2016 12:38
URI: http://nrl.northumbria.ac.uk/id/eprint/27076

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