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dc.contributor.authorFernández Caballero, Antonioes_ES
dc.contributor.authorGómez Quesada, Francisco Javieres_ES
dc.contributor.authorLópez López, Juanes_ES
dc.date.accessioned2012-03-21T07:13:29Z
dc.date.available2012-03-21T07:13:29Z
dc.date.issued2007es_ES
dc.identifier.citationLecture notes in computer science, 2007, 4528: 182-191es_ES
dc.identifier.issn0302-9743es_ES
dc.identifier.urihttp://hdl.handle.net/10578/2162
dc.description.abstractThis article presents a knowledge-based application to study and analyze traffic behavior on major roads, using as the main surveillance artefact a video camera mounted on a relatively high place with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module, which can detect a wide range of the most significant incidents on a freeway or highway.es_ES
dc.formattext/plainen_US
dc.language.isoesen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIngenieríases_ES
dc.titleKnowledge-based road traffic monitoringes_ES
dc.typeinfo:eu-repo/semantics/articleen_US


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