An airborne image stabilization method based on the Gaussian mixture model

Hongbin Deng; Yunde Jia; Yihua Xu; Wei Liang

doi:10.1109/ICSMC.2007.4413994

An airborne image stabilization method based on the Gaussian mixture model

Hongbin Deng^*, Yunde Jia, Yihua Xu, Wei Liang

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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 projection algorithm is adopted for the motion estimation; 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.

Original language	English
Title of host publication	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages	3896-3900
Number of pages	5
DOIs	https://doi.org/10.1109/ICSMC.2007.4413994
Publication status	Published - 2007
Event	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada Duration: 7 Oct 2007 → 10 Oct 2007

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Country/Territory	Canada
City	Montreal, QC
Period	7/10/07 → 10/10/07

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10.1109/ICSMC.2007.4413994

Cite this

@inproceedings{233954b3a1d84267a9c852961c94fcf5,

title = "An airborne image stabilization method based on the Gaussian mixture model",

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 projection algorithm is adopted for the motion estimation; 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.",

author = "Hongbin Deng and Yunde Jia and Yihua Xu and Wei Liang",

year = "2007",

doi = "10.1109/ICSMC.2007.4413994",

language = "English",

isbn = "1424409918",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "3896--3900",

booktitle = "2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007",

note = "2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 ; Conference date: 07-10-2007 Through 10-10-2007",

}

Deng, H, Jia, Y, Xu, Y & Liang, W 2007, An airborne image stabilization method based on the Gaussian mixture model. in 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007., 4413994, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 3896-3900, 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, Montreal, QC, Canada, 7/10/07. https://doi.org/10.1109/ICSMC.2007.4413994

An airborne image stabilization method based on the Gaussian mixture model. / Deng, Hongbin; Jia, Yunde; Xu, Yihua et al.
2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007. 2007. p. 3896-3900 4413994 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An airborne image stabilization method based on the Gaussian mixture model

AU - Deng, Hongbin

AU - Jia, Yunde

AU - Xu, Yihua

AU - Liang, Wei

PY - 2007

Y1 - 2007

N2 - 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 projection algorithm is adopted for the motion estimation; 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.

AB - 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 projection algorithm is adopted for the motion estimation; 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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U2 - 10.1109/ICSMC.2007.4413994

DO - 10.1109/ICSMC.2007.4413994

M3 - Conference contribution

AN - SCOPUS:40949103855

SN - 1424409918

SN - 9781424409914

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 3896

EP - 3900

BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007

T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007

Y2 - 7 October 2007 through 10 October 2007

ER -

An airborne image stabilization method based on the Gaussian mixture model

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