Object Tracking based on Online Partial Instance Learning with Multiple Local Strong Classifiers

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dc.contributor.authorKim, Mun Churlko
dc.contributor.authorBae, Sung Hoko
dc.date.accessioned2016-04-18T05:25:06Z-
dc.date.available2016-04-18T05:25:06Z-
dc.date.created2015-11-24-
dc.date.created2015-11-24-
dc.date.created2015-11-24-
dc.date.issued2014-10-28-
dc.identifier.citationInternational Conference on Image Processing, pp.358 - 362-
dc.identifier.urihttp://hdl.handle.net/10203/204608-
dc.languageEnglish-
dc.publisherIEEE Signal Processing Society-
dc.titleObject Tracking based on Online Partial Instance Learning with Multiple Local Strong Classifiers-
dc.typeConference-
dc.identifier.wosid000370063600073-
dc.identifier.scopusid2-s2.0-84949928746-
dc.type.rimsCONF-
dc.citation.beginningpage358-
dc.citation.endingpage362-
dc.citation.publicationnameInternational Conference on Image Processing-
dc.identifier.conferencecountryFR-
dc.identifier.conferencelocationCNIT La Defense, Paris-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, Mun Churl-
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