• DocumentCode
    3086909
  • Title

    Recursive image sequence segmentation by hierarchical models

  • Author

    Marques, F. ; Vera, V. ; Gasull, A.

  • Author_Institution
    Dept. de Teoria del Senyal i Comunicacions, Univ. Politecnica de Catalunya, Barcelona, Spain
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    523
  • Abstract
    This paper addresses the problem of image sequence segmentation. A technique using a sequence model based on compound random fields is presented. This technique is recursive in the sense that frames are processed in the same cadency as they are produced. New regions appearing in the sequence are detected by a morphological procedure
  • Keywords
    image sequences; compound random fields; hierarchical models; morphological procedure; recursive image sequence segmentation; Delay; Face detection; Genetic expression; Image coding; Image generation; Image segmentation; Image sequences; Markov random fields;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576344
  • Filename
    576344
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3086909