Salient point region covariance descriptor for target tracking

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage27207en_US
dc.citation.issueNumber2en_US
dc.citation.spage27207en_US
dc.citation.volumeNumber52en_US
dc.contributor.authorCakir, S.en_US
dc.contributor.authorAytac, T.en_US
dc.contributor.authorYildirim, A.en_US
dc.contributor.authorBehesti, S.en_US
dc.contributor.authorGerek, O. N.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2015-07-28T12:03:55Z
dc.date.available2015-07-28T12:03:55Z
dc.date.issued2013-02-22en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractFeatures extracted at salient points are used to construct a region covariance descriptor (RCD) for target tracking. In the classical approach, the RCD is computed by using the features at each pixel location, which increases the computational cost in many cases. This approach is redundant because image statistics do not change significantly between neighboring image pixels. Furthermore, this redundancy may decrease tracking accuracy while tracking large targets because statistics of flat regions dominate region covariance matrix. In the proposed approach, salient points are extracted via the Shi and Tomasi’s minimum eigenvalue method over a Hessian matrix, and the RCD features extracted only at these salient points are used in target tracking. Experimental results indicate that the salient point RCD scheme provides comparable and even better tracking results compared to a classical RCD-based approach, scale-invariant feature transform, and speeded-up robust features-based trackers while providing a computationally more efficient structure.en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T12:03:55Z (GMT). No. of bitstreams: 1 10.1117-1.OE.52.2.027207.pdf: 5048174 bytes, checksum: 552d9b296a3720c6b1fa01a332d4d70f (MD5)en
dc.identifier.doi10.1117/1.OE.52.2.027207en_US
dc.identifier.issn0091-3286
dc.identifier.urihttp://hdl.handle.net/11693/12925
dc.language.isoEnglishen_US
dc.publisherSPIEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/1.OE.52.2.027207en_US
dc.source.titleOptical Engineeringen_US
dc.subjectSalient Pointsen_US
dc.subjectFeature Selectionen_US
dc.subjectFeature Extractionen_US
dc.subjectRegion Covariance Descriptoen_US
dc.subjectCovariance Trackeren_US
dc.titleSalient point region covariance descriptor for target trackingen_US
dc.typeArticleen_US

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