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dc.contributor.authorCogun, Fuaten_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialSaint Malo, Franceen_US
dc.date.accessioned2016-02-08T12:22:00Z
dc.date.available2016-02-08T12:22:00Z
dc.date.issued2010en_US
dc.identifier.urihttp://hdl.handle.net/11693/28490
dc.descriptionDate of Conference: 4-6 Oct. 2010en_US
dc.description.abstractMost video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Therefore, accurate tracking of an object under varying scene conditions is crucial for robustness. It is well known that illumination variations on the observed scene and target are an obstacle against robust object tracking causing the tracker lose the target. In this paper, a 2D-cepstrum based approach is proposed to overcome this problem. Cepstral domain features extracted from the target region are introduced into the covariance tracking algorithm and it is experimentally observed that 2D-cepstrum analysis of the target object provides robustness to varying illumination conditions. Another contribution of the paper is the development of the co-difference matrix based object tracking instead of the recently introduced covariance matrix based method. ©2010 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title2010 IEEE International Workshop on Multimedia Signal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/MMSP.2010.5662076en_US
dc.subjectAccurate trackingen_US
dc.subjectCepstral domainen_US
dc.subjectCepstrumen_US
dc.subjectCepstrum analysisen_US
dc.subjectDifference matrixen_US
dc.subjectIllumination conditionsen_US
dc.subjectIllumination variationen_US
dc.subjectObject Trackingen_US
dc.subjectReal-time implementationsen_US
dc.subjectTarget objecten_US
dc.subjectTarget regionsen_US
dc.subjectTracking algorithmen_US
dc.subjectVideo compressionen_US
dc.subjectVideo processing applicationsen_US
dc.subjectCovariance matrixen_US
dc.subjectImage compressionen_US
dc.subjectMultimedia signal processingen_US
dc.subjectReal time controlen_US
dc.subjectSecurity systemsen_US
dc.subjectSignal processingen_US
dc.subjectSpeech recognitionen_US
dc.subjectTracking (position)en_US
dc.subjectTarget trackingen_US
dc.titleObject tracking under illumination variations using 2D-cepstrum characteristics of the targeten_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage521en_US
dc.citation.epage526en_US
dc.identifier.doi10.1109/MMSP.2010.5662076en_US
dc.publisherIEEEen_US


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