Paper Title:
Motion Correction With Adaptive Karlman Filter
  Abstract

In the digital image stabilization system, Kalman filter is the most commonly used filter for motion correction. When the wanted movements have large assumptions deviation with the movement model, the result of motion correction will cause divergence and even error. For this problem, a novel motion correction method with adaptive Karlman filter is proposed. The back and forth characteristic of the unwanted motion and the smoothness characteristic of the wanted motion is used to adjust the system noise and the observation error adaptively. Experiment results show that the proposed method can effectively distinguish the wanted and the unwanted movement. Compared with the method with fixed parameters, the proposed method takes into account the smoothness and delay of wanted motion at the same time and it is more adaptively.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1768-1772
DOI
10.4028/www.scientific.net/AMR.268-270.1768
Citation
Y. K. Liu, C. Z. Lv, C. Li, "Motion Correction With Adaptive Karlman Filter", Advanced Materials Research, Vols. 268-270, pp. 1768-1772, 2011
Online since
July 2011
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Price
$32.00
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