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http://hdl.handle.net/10553/15088
Título: | An study on re-identification in RGB-D imagery | Autores/as: | Lorenzo-Navarro, Javier Castrillón-Santana, Modesto Hernández Sosa, José Daniel |
Clasificación UNESCO: | 120304 Inteligencia artificial | Palabras clave: | Re-dentigication Surveillance RGB-D |
Fecha de publicación: | 2012 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 4th International Workshop on Ambient Assisted Living, IWAAL 2012 | Resumen: | Re-identi fication is commonly accomplished using appearance features based on salient points and color information. In this paper, we make an study on the use of di fferent features exclusively obtained from depth images captured with RGB-D cameras. The results achieved, using simple geometric features extracted in a top-view setup, seem to provide useful descriptors for the re-identi fication task. | URI: | http://hdl.handle.net/10553/15088 | ISBN: | 9783642353949 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-35395-6_28 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7657 LNCS, p. 200-207 |
Colección: | Actas de congresos |
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