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Real-Time High Density People Counter Using Morphological Tools

dc.contributor.authorAlbiol Colomer, Antonio
dc.contributor.authorMora Jiménez, Inma
dc.contributor.authorNaranjo, Valery
dc.date.accessioned2009-07-03T06:33:47Z
dc.date.available2009-07-03T06:33:47Z
dc.date.issued2001-12-04
dc.identifier.urihttp://hdl.handle.net/10115/2305
dc.description.abstractThis paper deals with an application of image sequence analysis. In particular, it addresses the problem of determining the number of people who get into and out of a train carriage when it's crowded, and background and/or illumination changes. The proposed system analyzes image sequences and processes them using an algorithm based on the use of several morphological tools, which are presented in detail in the paper.es
dc.language.isoenes
dc.subjectTelecomunicacioneses
dc.titleReal-Time High Density People Counter Using Morphological Toolses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.description.departamentoTeoría de la Señal y Comunicaciones


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