Title :
An Airborne Image Stabilization Method Based on Projection and the Gaussian Mixture Model
Author :
Deng, Hong-Bin ; Jia, Yun-De ; Xu, Yi-Hua ; Liang, Wei
Author_Institution :
Beijing Inst. of Technol., Beijing
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.
Keywords :
Gaussian processes; filtering theory; image enhancement; image sequences; motion compensation; motion estimation; adaptive Gaussian mixture model; airborne image stabilization; airborne image vibration; image edge enhancement; image sequence; motion compensation; motion estimation; motion filter; motion parameter; Cybernetics; Digital images; Filtering; Image analysis; Image motion analysis; Image sequences; Machine learning; Motion analysis; Motion compensation; Motion estimation; Gaussian mixture model; Image stabilization; Motion compensation; Motion estimation;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370167
