Temporal Stabilization of Superpixel Based on Estimating the Corresponding Points and the Boundary Candidate

  • YAMASAKI Kazuhiro
    Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
  • MORI Junichi
    Imaging Science and Engineering Laboratory, Tokyo Institute of Technology
  • SAITOH Yuuji
    Toshiba Solutions Corporation
  • HASEGAWA Osamu
    Imaging Science and Engineering Laboratory, Tokyo Institute of Technology

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Other Title
  • 対応点および境界候補の推定に基づくSuperpixelの時間方向安定化
  • 対応点及び境界候補の推定に基づくSuperpixelの時間方向安定化
  • タイオウテン オヨビ キョウカイ コウホ ノ スイテイ ニ モトズク Superpixel ノ ジカン ホウコウ アンテイカ

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Abstract

In this paper, we propose a graph-based calculation method for temporally stable superpixels. A superpixel, that is a small region with similar colors and textures, is recently used to improve the recognition accuracy and reduce the processing time in object recognition. When superpixels are calculated from the video, the results should have temporal stability. To achieve the above property, we develop a new calculation method based on the conventional method. Our method can calculate the temporally stable superpixels by estimating the corresponding points. In quantitative experiment using the artificial images, proposed method is more stable than the conventional methods.

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