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A robust global motion estimation for digital video stabilization

Babagholami Mohamadabadi, B ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-642-35101-3_12
  3. Publisher: 2012
  4. Abstract:
  5. This paper proposes a global motion estimation method to remove unintentional camera motions which degrade the visual quality of image sequences. The proposed approach is based on combination of 2D Radon transform, 1D Fourier transform and 1D Scale transform which can accurately estimate scale, rotational and translational distortions of camera motion and is robust to internal moving objects. Our experimental results with real and synthesized videos indicate the effectiveness of our proposed method
  6. Keywords:
  7. Fourier Transform ; Similarity Motion Model ; Camera motions ; Digital videos ; Global motion estimation ; Image sequence ; Motion models ; Moving objects ; Radon Transform ; Robust global motion estimation ; Scale transform ; Visual qualities ; Artificial intelligence ; Cameras ; Fourier transforms ; Mathematical transformations ; Multimedia systems ; Video signal processing ; Motion estimation
  8. Source: ecture Notes in Computer Science (iLncluding subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4 December 2012 through 7 December 2012 ; Volume 7691 LNAI , Decembe , 2012 , Pages 132-143 ; 03029743 (ISSN) ; 9783642351006 (ISBN)
  9. URL: http://link.springer.com/chapter/10.1007%2F978-3-642-35101-3_12