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Local Affine Optical Flow Computation

  • Hayato Itoh
  • Shun Inagaki
  • Ming-Ying Fan
  • Atsushi Imiya
  • Kazuhiko Kawamoto
  • Tomoya Sakai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8334)

Abstract

We develop an algorithm for the computation of a locally affine optical flow field as an extension of the Lucas-Kanade (LK) method. The classical LK method solves a system of linear equations assuming that the flow field is locally constant. Our method solves a collection of systems of linear equations assuming that the flow field is locally affine. Since our method combines the minimisation of the total variation and the decomposition of the region, the method is a local version of the \(l_2^2\)-l 1 optical flow computation. Since the linearly diverging vector field from a point is locally affine, our method is suitable for optical flow computation for diverging image sequences such as front-view sequences observed by car-mounted cameras.

Keywords

Window Size Regularisation Parameter Temporal Derivative Window Area Endpoint Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Hayato Itoh
    • 1
  • Shun Inagaki
    • 1
  • Ming-Ying Fan
    • 1
  • Atsushi Imiya
    • 2
  • Kazuhiko Kawamoto
    • 3
  • Tomoya Sakai
    • 4
  1. 1.School of Advanced Integration ScienceChiba UniversityJapan
  2. 2.Institute of Management and Information TechnologiesChiba UniversityJapan
  3. 3.Academic Link CenterChiba UniversityInage-kuJapan
  4. 4.Department of Computer and Information SciencesNagasaki UniversityBunkyo-choJapan

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