Research in global motion estimation for target segmention

@article{Jia2008ResearchIG,
  title={Research in global motion estimation for target segmention},
  author={Haitao Jia and Li Ren},
  journal={2008 International Conference on Communications, Circuits and Systems},
  year={2008},
  pages={718-722}
}
  • Haitao Jia, Li Ren
  • Published 2008 in
    2008 International Conference on Communications…
Global motion estimation is still dilemma for researchers hard to determine a tradeoff between accuracy and computer complexity. This paper presents a three steps algorithm to get this tradeoff. First it uses the law of inertia for camera to quicken the black matching algorithm. The last two steps are using recursive statistic error to get better affine model parameter. The simulation results that this algorithm can deal with the camera shift, rotation and scaling, as well as taking less time. 
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Showing 1-10 of 12 references

Fast global motion estimation using threshold method, MIPPR

  • Jiali Zheng, YongDong Zhang, GuangNan Ni
  • 2007
1 Excerpt

A New Global Motion Estimation Algorithm,MIPPR

  • Zhenming Zhang, Feng Wang
  • 2005
3 Excerpts

An adaptive motion decision system for digital mage stabilizer based on edge pattern matching " , IEEE Trans

  • Y. C. Park Pail, D. W. Kim
  • 2002

Dennis, "Image sequence stabilization based on DFT filtering

  • S. Erturk
  • lEE Proc. on Image Vision and Signal Processing…
  • 2000
1 Excerpt

Simple method for estimation of global motion parameters using sparse translational motion vector fields

  • T. Vlachos
  • Electronic Letters, 34( I ) , pp. 60-62, Jan…
  • 1998
1 Excerpt

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