Mean-shift tracking of moving objects using multi-dimensional histograms

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage77en_US
dc.citation.spage70en_US
dc.contributor.authorCüce, Halil I.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialOrlando, Florida, United States
dc.date.accessioned2016-02-08T11:52:31Z
dc.date.available2016-02-08T11:52:31Z
dc.date.issued2004-04en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 12-16 April 2004
dc.descriptionConference name: Defence and Security - Signal and Data Processing of Small Targets 2004
dc.description.abstractIn this paper, a moving object tracking algorithm for infrared image sequences is presented. The tracking algorithm is based on the mean-shift tracking method which is based on comparing the histograms of moving objects in consecutive image frames. In video obtained after visible light, the color histogram of the object is used for tracking. In forward looking infrared image sequences, the histogram is constructed not only from the pixel values but also from a highpass filtered version of the original image. The reason behind the use of highpass filter outputs in histogram construction is to capture structural nature of the moving object. Simulation examples are presented.en_US
dc.identifier.doi10.1117/12.553388en_US
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/11693/27404
dc.language.isoEnglishen_US
dc.publisherSociety of Photo-Optical Instrumentation Engineers (SPIE)
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.553388en_US
dc.source.titleProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.subjectFLIR imagesen_US
dc.subjectImage histogramen_US
dc.subjectMean-shift trackingen_US
dc.subjectMoving objects in videoen_US
dc.subjectAlgorithmsen_US
dc.subjectData processingen_US
dc.subjectHuman computer interactionen_US
dc.subjectInfrared imagingen_US
dc.subjectMotion compensationen_US
dc.subjectProbability density functionen_US
dc.subjectSignal detectionen_US
dc.subjectForward-looking infrared (FLIR) imageryen_US
dc.subjectTracking (position)en_US
dc.titleMean-shift tracking of moving objects using multi-dimensional histogramsen_US
dc.typeConference Paperen_US
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