Traffic Flow Estimation from Road Surveillance

Fozia Mehboob, Muhammad Abbas, Resheed Almotaeryi, Richard Jiang, Somaya Al-Maadeed, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2015 IEEE International Symposium on Multimedia (ISM)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages605-608
ISBN (Print)978-1-5090-0379-2
DOIs
Publication statusPublished - 2015

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