Real-Time High Density People Counter using Morphological Tools

dc.contributor.authorAlbiol Colomer, Antonio
dc.contributor.authorNaranjo, Valery
dc.contributor.authorMora Jiménez, Inma
dc.date.accessioned2009-07-30T09:33:21Z
dc.date.available2009-07-30T09:33:21Z
dc.date.issued2009-07-30T09:33:21Z
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 might change. The proposed system analyses image sequences and processes them using an algorithm based on the use of several morphological tools and optical flow motion estimation.es
dc.description.departamentoTeoría de la Señal y Comunicaciones
dc.identifier.issn0-7695-0750-6
dc.identifier.urihttp://hdl.handle.net/10115/2607
dc.language.isoenes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectTelecomunicacioneses
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses
dc.titleReal-Time High Density People Counter using Morphological Toolses
dc.typeinfo:eu-repo/semantics/conferenceObjectes

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