Hybrid framework for evaluating video object tracking algorithms

dc.contributor.author Pedro Miguel Carvalho en
dc.contributor.author Jaime Cardoso en
dc.contributor.author Luís Corte Real en
dc.date.accessioned 2017-11-17T11:39:34Z
dc.date.available 2017-11-17T11:39:34Z
dc.date.issued 2010 en
dc.description.abstract A 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.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3131
dc.language eng en
dc.relation 4358 en
dc.relation 243 en
dc.relation 3889 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Hybrid framework for evaluating video object tracking algorithms en
dc.type article en
dc.type Publication en