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Real-time human segmentation in infrared videos

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dc.contributor.author Maldonado Bascón, Saturnino es_ES
dc.contributor.author Serrano Cuerda, Juan es_ES
dc.contributor.author Fernández Caballero, Antonio es_ES
dc.contributor.author Castillo Montoya, José Carlos es_ES
dc.date.accessioned 2012-03-20T07:11:42Z
dc.date.available 2012-03-20T07:11:42Z
dc.date.issued 2011 es_ES
dc.identifier.citation Expert systems with applications, 2011, 38(3): 2577-2584 es_ES
dc.identifier.issn 0957-4174 es_ES
dc.identifier.uri http://hdl.handle.net/10578/2119
dc.description.abstract In this paper, a new approach to real-time people segmentation through processing images captured by an infrared camera is introduced. The approach starts detecting human candidate blobs processed through traditional image thresholding techniques. Afterwards, the blobs are refined with the objective of validating the content of each blob. The question to be solved is if each blob contains one single human candidate or more than one. If the blob contains more than one possible human, the blob is divided to fit each new candidate in height and width. es_ES
dc.format text/plain en_US
dc.language.iso es en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Ingenierías es_ES
dc.title Real-time human segmentation in infrared videos es_ES
dc.type info:eu-repo/semantics/article en_US


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