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Segmenting, modeling and matching video clips containing multiple moving objects

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  • معلومة اضافية
    • Contributors:
      The Beckman Institute for Advanced Science and Technology; University of Illinois at Urbana-Champaign Urbana (UIUC); University of Illinois System-University of Illinois System; Learning and recognition in vision (LEAR); Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble (GRAVIR - IMAG); Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Inria Grenoble - Rhône-Alpes; Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
    • بيانات النشر:
      HAL CCSD
      IEEE Computer Society
    • الموضوع:
      2004
    • Collection:
      Université Grenoble Alpes: HAL
    • الموضوع:
      Washington; United States
    • الموضوع:
      Washington, United States
    • نبذة مختصرة :
      International audience ; This paper presents a novel representation for dynamic scenes composed of multiple rigid objects that may undergo different motions and be observed by a moving camera. Multi-view constraints associated with groups of affine-invariant scene patches and a normalized description of their appearance are used to segment a scene into its rigid parts, construct three-dimensional protective, affine, and Euclidean models of these parts, and match instances of models recovered from different image sequences. The proposed approach has been implemented, and it is applied to the detection and recognition of moving objects in video sequences and the identification of shots that depict the same scene in a video clip (shot matching).
    • Relation:
      inria-00548534; https://inria.hal.science/inria-00548534; https://inria.hal.science/inria-00548534/document; https://inria.hal.science/inria-00548534/file/rothganger_cvpr04.pdf
    • الرقم المعرف:
      10.1109/CVPR.2004.1315263
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.224AFF5F