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dc.contributor.authorRamalingam, Soodamani
dc.contributor.authorVarsani, Vimal
dc.date.accessioned2017-09-11T16:53:05Z
dc.date.available2017-09-11T16:53:05Z
dc.date.issued2017-01-16
dc.identifier.citationRamalingam , S & Varsani , V 2017 , Vehicle Detection for Traffic Flow Analysis . in IEEE International Carnahan Conference on Security Technology : ICCST2016 . , 978-1-5090-1072-1/16/$31.00 ©2016 IEEE , Security Technology , IEEE , US , 50th IEEE International Conference Conference on Security Technology , Orlando, Florida , United States , 24/10/16 . https://doi.org/10.1109/CCST.2016.7815693
dc.identifier.citationconference
dc.identifier.isbn978-1-5090-1072-1/16/$31.00 ©2016 IEEE
dc.identifier.issn2153-0742
dc.identifier.otherPURE: 10528404
dc.identifier.otherPURE UUID: 07dc92fa-6695-4bc6-a439-d5b2faed5d72
dc.identifier.otherScopus: 85011650246
dc.identifier.urihttp://hdl.handle.net/2299/19334
dc.descriptionSoodamani, R & Varsani, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This document is the Accepted Manuscript version. The Version of Record, published in Security Technology (ICCST), 2016 is available online at IEEE Xplore: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7815693, doi: https://doi.org/10.1109/CCST.2016.7815693. © IEEE 2016.
dc.description.abstractThis paper looks at some of the algorithms that can be used for effective detection and tracking of vehicles, in particular for statistical analysis. The main methods for tracking discussed and implemented are blob analysis, optical flow and foreground detection. A further analysis is also done testing two of the techniques using a number of video sequences that include different levels of difficulties.en
dc.format.extent8
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofIEEE International Carnahan Conference on Security Technology
dc.relation.ispartofseriesSecurity Technology
dc.rightsOpen
dc.subjectVideo analysis, vehicle detection, tracking, blob analysis, optical flow, background extraction, foreground extraction
dc.titleVehicle Detection for Traffic Flow Analysisen
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionDigital Media Processing and Biometrics
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCommunications and Intelligent Systems
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2017-01-16
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/CCST.2016.7815693
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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