Improved Mean Shift Target Localization using True Background Weighted Histogram and Geometric Centroid Adjustment

dc.contributor.authorMehmood, Rashid
dc.contributor.authorul Huda, Noor
dc.contributor.authorSong, Jinho
dc.contributor.authorRiaz, M. Moshin
dc.contributor.authorIqbal, Naveed
dc.contributor.authorChoi, Tae Sun
dc.coverage.issue3cs
dc.coverage.volume25cs
dc.date.accessioned2016-09-19T08:40:28Z
dc.date.available2016-09-19T08:40:28Z
dc.date.issued2016-09cs
dc.description.abstractMean Shift (MS) tracking using histogram features alone may cause inaccuracy in target localization. The problem becomes worst due to presence of mingled background features in target model representation. To improve MS target localization problem, this paper propose a spatiospectral technique. The true background features are identified in target model representation using spectral and spatial weighting and then a transformation is applied to minimize their effect in target model representation for localization improvement. The target localization is further improved by adjusting the MS estimated target position through edge based centroid re positioning. The paper also propose method of target model update for background weighted histogram based algorithms followed by weighted transformation through online feature consistency data. The proposed method is designed for single object tracking in complex scenarios and tested for comparative results with existing state of the art techniques. Experimental results on numerous challenging video sequences verify the significance of proposed technique in terms of robustness to complex background, occlusions, appearance changes, and similar color object avoidance.en
dc.formattextcs
dc.format.extent612-622cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2016 vol. 25, č. 3, s. 612-622. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2016.0612en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/63207
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2016/16_03_0612_0622.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectTarget trackingen
dc.subjectspatio-spectral techniqueen
dc.subjectMean Shiften
dc.subjectGuided filteren
dc.subjectTarget localizationen
dc.titleImproved Mean Shift Target Localization using True Background Weighted Histogram and Geometric Centroid Adjustmenten
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
16_03_0612_0622.pdf
Size:
6.01 MB
Format:
Adobe Portable Document Format
Description:
Collections