Moving object extraction using a basis function network

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Other Title
  • 基底関数ネットワークを用いた動画像からの移動物体抽出

Abstract

This paper describes a moving object extraction method using a basis function network. The basis function network represents frame images as a linear conjunction of weighted basis functions. The ordinary background subtraction method can't extract the moving object from unstable background. The ordinary frame differencing method can't extract the whole moving object. The proposed method can detect a moving object by the difference between consecutive weights and can reconstruct a local image including a whole moving object. Detections and extractions of moving objects from unstable background are examined and the validity of the proposed method is discussed.

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Details 詳細情報について

  • CRID
    1390001205668222720
  • NII Article ID
    130005034982
  • DOI
    10.14864/fss.21.0.179.0
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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