Real-Time High Density People Counter using Morphological Tools

dc.contributor.author	Albiol Colomer, Antonio
dc.contributor.author	Naranjo, Valery
dc.contributor.author	Mora Jiménez, Inma
dc.date.accessioned	2009-07-30T09:33:21Z
dc.date.available	2009-07-30T09:33:21Z
dc.date.issued	2009-07-30T09:33:21Z
dc.identifier.issn	0-7695-0750-6
dc.identifier.uri	http://hdl.handle.net/10115/2607
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 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.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