Deformable Object Matching Based on Multi-scale Local Histograms

  • N. Pérez de la Blanca
  • J. M. Fuertes
  • M. Lucena
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3179)

Abstract

This paper presents a technique to enable deformable objects to be matched throughout video sequences based on the information provided by the multi-scale local histograms of the images. We shall show that this technique is robust enough for viewpoint changes, lighting changes, large motions of the matched object and small changes in rotation and scale. Unlike other well-known color-based techniques, this technique only uses the gray level values of the image. The proposed algorithm is mainly based on the definition of a particular multi-scale template model and a similarity measure for histogram matching.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • N. Pérez de la Blanca
    • 1
  • J. M. Fuertes
    • 2
  • M. Lucena
    • 2
  1. 1.Department of Computer Science and Artificial Intelligence, ETSIIUniversity of GranadaGranadaSpain
  2. 2.Departmento de Informática. Escuela Politécnica SuperiorUniversidad de JaénJaénSpain

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