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Possibility Theory and Rough Histograms for Motion Estimation in a Video Sequence

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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

This article proposes to use both theories of possibility and rough histograms to deal with estimation of the movement between two images in a video sequence. A fuzzy modeling of data and a reasoning based on imprecise statistics allow us to partly cope with the constraints associated to classical movement estimation methods such as correlation or optical flow based-methods. The theoretical aspect of our method will be explained in details, and its properties will be shown. An illustrative example will also be presented.

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References

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Author information

Authors and Affiliations

  1. LIRMM, UMR CNRS/Universite Montpellier II, 161 rue Ada, 34392, Montpellier cedex 5, France

    Frederic Comby, Olivier Strauss & Marie-José Aldon

Authors
  1. Frederic Comby
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  2. Olivier Strauss
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  3. Marie-José Aldon
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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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Comby, F., Strauss, O., Aldon, MJ. (2001). Possibility Theory and Rough Histograms for Motion Estimation in a Video Sequence. 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_43

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  • DOI: https://doi.org/10.1007/3-540-45129-3_43

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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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