Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/3131
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dc.contributor.authorPedro Miguel Carvalhoen
dc.contributor.authorJaime Cardosoen
dc.contributor.authorLuís Corte Realen
dc.date.accessioned2017-11-17T11:39:34Z-
dc.date.available2017-11-17T11:39:34Z-
dc.date.issued2010en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/3131-
dc.description.abstractA simple and efficient hybrid framework for evaluating algorithms for tracking objects in video sequences is presented. The framework unifies state-of-the-art evaluation metrics with diverse requirements in terms of reference information, thus overcoming weaknesses of individual approaches. With foundations on already demonstrated and well known metrics, this framework assumes the role of a flexible and powerful tool for the research community to assess and compare algorithms.en
dc.languageengen
dc.relation4358en
dc.relation243en
dc.relation3889en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleHybrid framework for evaluating video object tracking algorithmsen
dc.typearticleen
dc.typePublicationen
Appears in Collections:CTM - Articles in International Journals

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