Real-Time High Density People Counter Using Morphological Tools
dc.contributor.author | Albiol Colomer, Antonio | |
dc.contributor.author | Mora Jiménez, Inma | |
dc.contributor.author | Naranjo, Valery | |
dc.date.accessioned | 2009-07-03T06:33:47Z | |
dc.date.available | 2009-07-03T06:33:47Z | |
dc.date.issued | 2001-12-04 | |
dc.identifier.uri | http://hdl.handle.net/10115/2305 | |
dc.description.abstract | This 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.iso | en | es |
dc.subject | Telecomunicaciones | es |
dc.title | Real-Time High Density People Counter Using Morphological Tools | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.subject.unesco | 3325 Tecnología de las Telecomunicaciones | es |
dc.description.departamento | Teoría de la Señal y Comunicaciones |
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