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Using latent features for short-term person re-identification with RGB-D cameras

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Using latent features for short-term person re-identification with RGB-D cameras

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Oliver Moll, J.; Albiol Colomer, A.; Albiol Colomer, AJ.; Mossi García, JM. (2016). Using latent features for short-term person re-identification with RGB-D cameras. Pattern Analysis and Applications. 19(2):549-561. doi:10.1007/s10044-015-0489-8

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84821

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Title: Using latent features for short-term person re-identification with RGB-D cameras
Author: Oliver Moll, Javier Albiol Colomer, Alberto Albiol Colomer, Antonio José Mossi García, José Manuel
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Issued date:
Abstract:
This paper presents a system for people re-identification in uncontrolled scenarios using RGB-depth cameras. Compared to conventional RGB cameras, the use of depth information greatly simplifies the tasks of segmentation ...[+]
Subjects: Bodyprint , Probabilistic PCA , Factor analysis , Missing data , Re-identification , Surveillance , Person detection , Appearance
Copyrigths: Reserva de todos los derechos
Source:
Pattern Analysis and Applications. (issn: 1433-7541 )
DOI: 10.1007/s10044-015-0489-8
Publisher:
Springer Verlag (Germany)
Publisher version: http://dx.doi.org/10.1007/s10044-015-0489-8
Thanks:
The work presented in this paper has been funded by the Spanish Ministry of Science and Technology under the CICYT contract TEVISMART, TEC2009-09146.
Type: Artículo

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