Co-difference based object tracking algorithm for infrared videos

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage438en_US
dc.citation.spage434en_US
dc.contributor.authorDemir, H. Seçkinen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialPhoenix, AZ, USAen_US
dc.date.accessioned2018-04-12T11:49:28Z
dc.date.available2018-04-12T11:49:28Z
dc.date.issued2016en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 25-28 September 2016en_US
dc.descriptionConference Name: IEEE International Conference on Image Processing, ICIP 2016en_US
dc.description.abstractThis paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product operator is redefined in a multiplication-free manner. The new operator yields a computationally efficient implementation for real time object tracking applications. Experiments on an extensive set of IR image sequences indicate that the new method performs better than covariance tracking and other tracking algorithms without requiring any multiplication operations.en_US
dc.identifier.doi10.1109/ICIP.2016.7532394en_US
dc.identifier.issn1522-4880en_US
dc.identifier.urihttp://hdl.handle.net/11693/37733
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICIP.2016.7532394en_US
dc.source.titleProceedings of the IEEE International Conference on Image Processing, ICIP 2016en_US
dc.subjectCo-difference matrixen_US
dc.subjectCovariance featuresen_US
dc.subjectInfrared banden_US
dc.subjectObject trackingen_US
dc.subjectSurveillanceen_US
dc.subjectSpace surveillanceen_US
dc.subjectComputationally efficienten_US
dc.subjectMultiplication operationsen_US
dc.subjectObject tracking algorithmen_US
dc.subjectReal-time object trackingen_US
dc.titleCo-difference based object tracking algorithm for infrared videosen_US
dc.typeConference Paperen_US

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