An Study on Re-identification in RGB-D Imagery

  • Javier Lorenzo-Navarro
  • Modesto Castrillón-Santana
  • Daniel Hernández-Sosa
Conference paper

DOI: 10.1007/978-3-642-35395-6_28

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7657)
Cite this paper as:
Lorenzo-Navarro J., Castrillón-Santana M., Hernández-Sosa D. (2012) An Study on Re-identification in RGB-D Imagery. In: Bravo J., Hervás R., Rodríguez M. (eds) Ambient Assisted Living and Home Care. IWAAL 2012. Lecture Notes in Computer Science, vol 7657. Springer, Berlin, Heidelberg

Abstract

Re-identification is commonly accomplished using appearance features based on salient points and color information. In this paper, we make an study on the use of different 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-identification task.

Keywords

re-dentification surveillance RGB-D 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Javier Lorenzo-Navarro
    • 1
  • Modesto Castrillón-Santana
    • 1
  • Daniel Hernández-Sosa
    • 1
  1. 1.Instituto Universitario SIANIUniversidad de Las Palmas de Gran CanariaLas PalmasSpain

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