• DocumentCode
    3598578
  • Title

    Video stabilization as a variational problem and numerical solution with the Viterbi method

  • Author

    Pilu, Maurizio

  • Author_Institution
    HP Labs Eur., Bristol, UK
  • Volume
    1
  • fYear
    2004
  • Abstract
    This paper presents a new method for video stabilization based on a variational formulation that produces optimally stable sequences independently of the input motion but within the hard constraints imposed by finite sensor size to the maximum allowed compensatory transformation. A practical and fast numerical solution using the Viterbi algorithm is also proposed. The results show the efficacy of the method compared to a class of previous approaches.
  • Keywords
    dynamic programming; image motion analysis; image sequences; maximum likelihood estimation; variational techniques; video signal processing; Viterbi algorithm; Viterbi method; finite sensor; variational formulation; video sequences; video stabilization; Cameras; Europe; Filtering theory; Finite impulse response filter; Frequency; IIR filters; Image sensors; Layout; Motion analysis; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315090
  • Filename
    1315090