Model Parameters Estimation for Image Motion Compensation

DOI

10.2991/isccca.2013.73How to use a DOI?

Keywords

electronic image stabilization, motion estimation, model parameters, fast matching

Abstract

Fast and optimal motion estimation method is proposed for electronic image stabilization. First, an approach for macro-block judgment is presented. Before motion vectors calculation, gradient information is analyzed, only useful reference blocks that are indispensable for accurate motion estimation are selected, by which the number of macro-blocks for subsequent calculation is reduced. Second, in the block matching, an improved SSDA is used to reduce computing cost. Finally, the affine transformation model and similarity transformation model of image motion are created and using least squares method for solving the optimal estimation of model parameters. Experimental results show the accuracy and fast computing speed of the proposed method.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xunyu Zhong
AU  - Xiaoshan Li
AU  - Yonggang Zhao
PY  - 2013/02
DA  - 2013/02
TI  - Model Parameters Estimation for Image Motion Compensation
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 299
EP  - 302
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.73
DO  - 10.2991/isccca.2013.73
ID  - Zhong2013/02
ER  -