Indoor multi-person tracking via ultra-wideband radars

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buir.advisorGüldoğan, Mehmet Burak
dc.contributor.authorGülmezoğlu, Berk
dc.date.accessioned2016-01-08T18:28:10Z
dc.date.available2016-01-08T18:28:10Z
dc.date.issued2014
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and The Graduate School of Engineering and Science of Bilkent University, 2014.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 2014.en_US
dc.descriptionIncludes bibliographical references leaves 37-41.en_US
dc.description.abstractTracking multiple objects in indoor environments has various applications such as patient monitoring and inventory tracking. In this thesis, the use of Gaussian mixture probability hypothesis density (GM-PHD) filters is investigated for multiple person tracking via ultra-wideband (UWB) radar sensors in an indoor environment. An experimental setup consisting of a network of UWB radar sensors and a high-speed computer is designed and a new detection algorithm is proposed. The results of this experimental proof-of-concept study show that it is possible to accurately track multiple targets using a UWB radar sensor network in indoor environments based on the proposed approach.en_US
dc.description.provenanceMade available in DSpace on 2016-01-08T18:28:10Z (GMT). No. of bitstreams: 1 0006690.pdf: 1542910 bytes, checksum: d5d26b9e44d8405079298aa3482c4004 (MD5)en
dc.description.statementofresponsibilityGülmezoğlu, Berken_US
dc.format.extentx, 41 leaves, graphics, illustrationsen_US
dc.identifier.urihttp://hdl.handle.net/11693/15987
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMultiple person detectionen_US
dc.subjecttarget trackingen_US
dc.subjectPHD filteren_US
dc.subjectultrawidebanden_US
dc.subjectradaren_US
dc.subjectpassive localizationen_US
dc.subject.lccTK6580 .G85 2014en_US
dc.subject.lcshRadar targets.en_US
dc.subject.lcshTracking radar.en_US
dc.subject.lcshRadar--Data processing.en_US
dc.titleIndoor multi-person tracking via ultra-wideband radarsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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