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dc.contributor.authorCogun, F.en_US
dc.contributor.authorCetin, A. E.en_US
dc.date.accessioned2016-02-08T09:41:25Z
dc.date.available2016-02-08T09:41:25Z
dc.date.issued2013en_US
dc.identifier.issn1729-8806
dc.identifier.urihttp://hdl.handle.net/11693/21116
dc.description.abstractMoving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of an accurate and reliable shadow detection method is essential to realize intelligent video processing applications. In this paper, a cepstrum-based method for moving shadow detection is presented. The proposed method is tested on outdoor and indoor video sequences using well-known benchmark test sets. To show the improvements over previous approaches, quantitative metrics are introduced and comparisons based on these metrics are made. © 2013 Cogun and Cetin; licensee InTech.en_US
dc.language.isoEnglishen_US
dc.source.titleInternational Journal of Advanced Robotic Systemsen_US
dc.relation.isversionofhttp://dx.doi.org/10.5772/52942en_US
dc.subject1-D cepstrumen_US
dc.subject2-D cepstrumen_US
dc.subjectCepstral analysisen_US
dc.subjectMoving shadowsen_US
dc.subjectShadow detectionen_US
dc.subjectBenchmark testsen_US
dc.subjectCepstral analysisen_US
dc.subjectCepstrumen_US
dc.subjectIntelligent video processingen_US
dc.subjectMisclassificationsen_US
dc.subjectMoving shadow detectionen_US
dc.subjectMoving shadowsen_US
dc.subjectObject Trackingen_US
dc.subjectQuantitative metricsen_US
dc.subjectShadow detectionsen_US
dc.subjectVideo sequencesen_US
dc.subjectBenchmarkingen_US
dc.subjectPixelsen_US
dc.subjectVideo signal processingen_US
dc.subjectImage segmentationen_US
dc.titleMoving shadow detection in video using cepstrumen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.volumeNumber10en_US
dc.identifier.doi10.5772/52942en_US
dc.publisherSAGEen_US


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