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Adaptive Motion Smoothening for Video Stabilization

by Paresh Rawat, Jyoti Singhai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 20
Year of Publication: 2013
Authors: Paresh Rawat, Jyoti Singhai
10.5120/12657-9254

Paresh Rawat, Jyoti Singhai . Adaptive Motion Smoothening for Video Stabilization. International Journal of Computer Applications. 72, 20 ( June 2013), 14-20. DOI=10.5120/12657-9254

@article{ 10.5120/12657-9254,
author = { Paresh Rawat, Jyoti Singhai },
title = { Adaptive Motion Smoothening for Video Stabilization },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 20 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number20/12657-9254/ },
doi = { 10.5120/12657-9254 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:25.438832+05:30
%A Paresh Rawat
%A Jyoti Singhai
%T Adaptive Motion Smoothening for Video Stabilization
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 20
%P 14-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Persons using low coast hand held cameras are untrained, thus captured videos suffers from severe handshakes and jitters. Hence digital video stabilization algorithm is required to acquire video sequences by removing these unwanted handshakes and jitters. This paper proposed an adaptive motion smoothening method that removes high frequency jitters, by filtering the accumulated global motion vectors. A modified method for motion vector validation implemented on global motion vectors using adaptive threshold. Proposed method not only removes the jitters but also preserves the scene information. The proposed method reduces the missing image areas significantly. This allows using a simplified edge completion method to generate the full frame stabilized video, which performs better in the presence of large moving object in the scene.

References
  1. Y. Matsushita, E. Ofek, Weina Ge, X. Tang, and H. Y. Shum, "Full frame video stabilization with motion inpainting", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 7 pp. 1163-1178, July 2006.
  2. Pyung Soo Kim, FIR filtering based image stabilization mechanism for mobile video appliances Proceeding CIS'04 Proceedings of the First international conference on Computational and Information Science Pages 1106-1113, 2004
  3. Chongwu Tang, Xiaokang Yang,Li Chen,"A fast video stabilization algorithm based on block matching and edge completion", IEEE 13th International workshop on Multimedia signal processing MMSP 2011.
  4. J. Cai, R. Walker, "Robust video stabilization algorithm using feature point selection and delta optical flow", IET Computer Vision, Vol. 3, No. 4, pp. 176–188, 2009
  5. Feng Liu, M. Gleicher, H. Jin, Aseem Agarwala, "Content Preserving Warps for 3D Video Stabilization", Int. Conf. Proc. ACM SIGGRAPH 2009 papers, New York, NY, USA: ACM, 2009, pp. 1-9.
  6. Paresh Rawat, Jyoti Singhai, "Review of motion estimation and video Stabilization technique For hand held mobile video" International Journal of Signal & Image Processing (SIPIJ), Vol. 2, No. 2, 2011 .
  7. Hany Farid and J. B. Woodward, "Video stabilization and Enhancement", TR 2007-605, Dartmouth College, Computer Science, 1997
  8. Pyung Soo Kim, "FIR filtering based image stabilization mechanism for mobile video appliances", Computational and Information Science Lecture Notes in Computer Science Volume 3314, pp 1106-1113, 2005.
  9. J. Yang, D. Schonfeld, and M. Mohamed, " Robust Video Stabilization based on particle filter racking of projected camera motion", IEEE Transaction on, Circuits and Systems for Video Technology, Vol. 19, No. 7, pp. 945-954, July 2009.
  10. C. Buehler, M. Bosse, and L. Mcmillian, "Non-metric image based rendering for video stabilization", Proc. Computer Vision and Pattern Recognition, Vol. 2, pp. 609–614, 2001.
  11. Sunglok Choi, Taemin Kim, and Wonpil Yu, Robust Video Stabilization to Outlier Motion using Adaptive RANSAC", International Conference on Intelligent Robots and Systems October 11-15, 2009 .
  12. Fatma Özbek, Sarp Erturpk, "Image sequence stabilization based on adaptive Polynomial filtering using the LMS and RLS algorithms", in Journal Of Electrical & Electronics Engineering", pp. 1233-1241, June. 2006.
  13. Shih-Hsuan Yang, Member, IEEE and Fu-Min Jheng, "An adaptive image stabilization technique", IEEE International Conference on Systems, Man and Cybernetics Vol. 3 2006
  14. M. J. Tanakian, M. Rezaei, and F. Mohanna, "Digital video stabilization system by adaptive fuzzy filtering", 19th European signal processing conference, pp. 318-322, Sept. 2011.
  15. M. J. Tanakian, M. Rezaei, and F. Mohanna, "Digital video stabilization system by adaptive Motion vector validation and filtering", Proceeding of 1st International conference on communication engineering pp. 165-168, Dec. 2010. . \
Index Terms

Computer Science
Information Sciences

Keywords

Video stabilization Motion Smoothening Motion Estimation Motion vector validation Edge completion

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