An study on re-identification in RGB-D imagery


Autoria(s): Lorenzo Navarro, José Javier; Castrillón-Santana, Modesto; Hernández Sosa, José Daniel
Data(s)

24/11/2015

24/11/2015

2012

Resumo

<p>[EN]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.</p>

Identificador

http://hdl.handle.net/10553/15088

716519

<p>10.1007/978-3-642-35395-6_28</p>

Idioma(s)

eng

Direitos

info:eu-repo/semantics/openAccess

Fonte

<p>Ambient Assited Living and Home Care. 4th International Workshop, IWAAL. Berlin: Springer, 2012 (Lecture Notes in Computer Science, ISSN 0302-9743; vol. 7657, pp. 200-207) ISBN 978-3-642-35394-9. Online ISBN 978-3-642-35395-6</p>

Palavras-Chave #120304 Inteligencia artificial
Tipo

info:eu-repo/semantics/conferenceObject