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High Level Description of Video Surveillance Sequences

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Multimedia Applications, Services and Techniques — ECMAST’99 (ECMAST 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1629))

Abstract

One of the goals of the ACTS project MODEST is to build an automatic video-surveillance system from a sequence of digital images. The overall system can be divided into the following sub-tasks which are of great interest in the representation of images, namely the automatic segmentation of the video-surveillance sequences, and the extraction of descriptors (such as those in MPEG-7) to represent the objects in the scene and their behaviors.

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References

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Author information

Authors and Affiliations

  1. Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), CH-1015, Lausanne, Switzerland

    Patrick Piscaglia & Andrea Cavallaro

  2. Laboratoires d’Electronique Philips, 22 avenue Descartes, BP 15, 94453, Limeil-Brévannes Cedex, France

    Michel Bonnet

  3. Telecommunications and Remote Sensing Laboratory, Catholic University of Louvain, Louvain-la-Neuve, Belgium

    Damien Douxchamps

Authors
  1. Patrick Piscaglia
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  2. Andrea Cavallaro
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  3. Michel Bonnet
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  4. Damien Douxchamps
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Editor information

Editors and Affiliations

  1. Telekom Austria Headquarters, Postgasse 8, A-1011, Vienna, Austria

    Helmut Leopold

  2. Escuela Técnica Superior de Ingenieros de Telecommunicación Grupo de Tratamiento de Imágenes (GTI), Universidad Politécnica de Madrid, Ciudad Universitaria s/n, E-28040, Madrid, Spain

    Narciso García

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© 1999 Springer-Verlag Berlin Heidelberg

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Piscaglia, P., Cavallaro, A., Bonnet, M., Douxchamps, D. (1999). High Level Description of Video Surveillance Sequences. In: Leopold, H., García, N. (eds) Multimedia Applications, Services and Techniques — ECMAST’99. ECMAST 1999. Lecture Notes in Computer Science, vol 1629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48757-3_22

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  • DOI: https://doi.org/10.1007/3-540-48757-3_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66082-8

  • Online ISBN: 978-3-540-48757-9

  • eBook Packages: Springer Book Archive

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