• DocumentCode
    2876550
  • Title

    Robust digital image stabilization based on spatial-location-invariant criterion

  • Author

    Peng, Xiaojiang ; Chen, Junzhou ; Zhang, Jiashu

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2011
  • fDate
    7-10 Nov. 2011
  • Firstpage
    2250
  • Lastpage
    2254
  • Abstract
    In this paper, a robust digital image stabilization (DIS) algorithm based on a spatial-location-invariant criterion is proposed to estimate the local motion vectors in jitter videos. In the algorithm, the feature points are detected by sub-region Harris detector and matched by cross diamond hexagon search algorithm, and then in order to obtain accurate local motion vectors, the presented criterion called spatial-location-invariant is used to remove those points that error-matching or in moving objects. With these vectors, the global motion vector is computed by least-squares algorithm in similarity motion model. Finally the real motion model is applied to motion compensation. The experimental results show that the proposed DIS technique can deal with arbitrary rotation, translation, and is robust to foreground moving objects.
  • Keywords
    least squares approximations; motion compensation; search problems; DIS; cross diamond hexagon search algorithm; jitter videos; least-squares algorithm; local motion vectors; motion compensation; robust digital image stabilization algorithm; similarity motion model; spatial-location-invariant criterion; sub-region Harris detector; Detectors; Digital images; Feature extraction; Motion estimation; Robustness; Vectors; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Melbourne, VIC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-61284-969-0
  • Type

    conf

  • DOI
    10.1109/IECON.2011.6119659
  • Filename
    6119659