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Dynamic Models for Wavelet Representations of Shape

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Visual Form 2001 (IWVF 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2059))

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Abstract

In this paper, a dynamic model for contours using wavelets is presented. First it is shown how to construct probabilistic shape priors for modeling contour deformation using wavelets. Then a dynamic model for shape evolution in time is presented. This allows this formulation to be applied to the problem of tracking a contour using the stochastic model to predict contour location and appearance in successive image frames. Computational results for two real image problems are given for the Condensation (Conditional Density Propagation) tracking algorithm. It is shown that this formulation successfully tracks the objects in the image sequences.

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Author information

Authors and Affiliations

  1. Dep. de Estadística, Inv. Op. y Computación, Universidad de La Laguna, Tenerife, Spain

    Fernando Pérez Nava

  2. Dep. de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Gran Canaria, Spain

    Antonio Falcón Martel

Authors
  1. Fernando Pérez Nava
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  2. Antonio Falcón Martel
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Editor information

Editors and Affiliations

  1. Istituto di Cibernetica, Via Toiano 6, 80072, Arco Felice (Naples), Italy

    Carlo Arcelli  & Gabriella Sanniti di Baja  & 

  2. Dipartimento di Informatica e Sitemistica, Universitá di Napoli “Frederico II”, Via Claudio 21, 80125, Naples, Italy

    Luigi P. Cordella

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© 2001 Springer-Verlag Berlin Heidelberg

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Nava, F.P., Martel, A.F. (2001). Dynamic Models for Wavelet Representations of Shape. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form 2001. IWVF 2001. Lecture Notes in Computer Science, vol 2059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45129-3_39

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  • DOI: https://doi.org/10.1007/3-540-45129-3_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42120-7

  • Online ISBN: 978-3-540-45129-7

  • eBook Packages: Springer Book Archive

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