Conference Proceeding

An Airborne Image Stabilization Method Based on Projection and the Gaussian Mixture Model

Beijing Inst. of Technol., Beijing;
09/2007; DOI:10.1109/ICMLC.2007.4370167 ISBN: 978-1-4244-0973-0 pp.345-349 In proceeding of: Machine Learning and Cybernetics, 2007 International Conference on, Volume: 1
Source: IEEE Xplore

ABSTRACT In this paper, an image stabilization method based on the adaptive Gaussian mixture model (GMM) is presented in order to smooth down the airborne image vibration. Firstly, the image edge is enhanced and then projection is adopted to estimate motion; secondly, GMM parameter is obtained after analyzing characteristics of the first n images; finally, a stable image sequence is achieved after GMM motion filter operates on the motion parameter. The experimental results show that the method has the advantage of fast speed and effectively smooth unwanted vibration of image sequences.

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Keywords

estimate motion
 
experimental results
 
GMM
 
GMM motion filter
 
GMM parameter
 
image edge
 
image sequences
 
motion parameter
 
stable image sequence
 

Hong-Bin Deng