An airborne image stabilization method based on projection and the gaussian mixture model

Hong Bin Deng; Yun De Jia; Yi Hua Xu; Wei Liang

doi:10.1109/ICMLC.2007.4370167

An airborne image stabilization method based on projection and the gaussian mixture model

Hong Bin Deng^*, Yun De Jia, Yi Hua Xu, Wei Liang

^*Corresponding author for this work

Beijing Institute of Technology

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

2 Citations (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 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.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages	345-349
Number of pages	5
DOIs	https://doi.org/10.1109/ICMLC.2007.4370167
Publication status	Published - 2007
Event	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China Duration: 19 Aug 2007 → 22 Aug 2007

Publication series

Name	Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Volume	1

Conference

Conference	6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
Country/Territory	China
City	Hong Kong
Period	19/08/07 → 22/08/07

Keywords

Gaussian mixture model
Image stabilization
Motion compensation
Motion estimation

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10.1109/ICMLC.2007.4370167

Cite this

Deng, H. B., Jia, Y. D., Xu, Y. H., & Liang, W. (2007). An airborne image stabilization method based on projection and the gaussian mixture model. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007 (pp. 345-349). Article 4370167 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 1). https://doi.org/10.1109/ICMLC.2007.4370167

@inproceedings{7d26339fc1d547a69d6e12610b772c09,

title = "An airborne image stabilization method based on projection and 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 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 mixture model, Image stabilization, Motion compensation, Motion estimation",

author = "Deng, {Hong Bin} and Jia, {Yun De} and Xu, {Yi Hua} and Wei Liang",

year = "2007",

doi = "10.1109/ICMLC.2007.4370167",

language = "English",

isbn = "142440973X",

series = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

pages = "345--349",

booktitle = "Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007",

note = "6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 ; Conference date: 19-08-2007 Through 22-08-2007",

}

Deng, HB, Jia, YD, Xu, YH & Liang, W 2007, An airborne image stabilization method based on projection and the gaussian mixture model. in Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007., 4370167, Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007, vol. 1, pp. 345-349, 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007, Hong Kong, China, 19/08/07. https://doi.org/10.1109/ICMLC.2007.4370167

An airborne image stabilization method based on projection and the gaussian mixture model. / Deng, Hong Bin; Jia, Yun De; Xu, Yi Hua et al.
Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 345-349 4370167 (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007; Vol. 1).

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

TY - GEN

T1 - An airborne image stabilization method based on projection and the gaussian mixture model

AU - Deng, Hong Bin

AU - Jia, Yun De

AU - Xu, Yi Hua

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 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.

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 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.

KW - Gaussian mixture model

KW - Image stabilization

KW - Motion compensation

KW - Motion estimation

UR - http://www.scopus.com/inward/record.url?scp=37849014656&partnerID=8YFLogxK

U2 - 10.1109/ICMLC.2007.4370167

DO - 10.1109/ICMLC.2007.4370167

M3 - Conference contribution

AN - SCOPUS:37849014656

SN - 142440973X

SN - 9781424409730

T3 - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

SP - 345

EP - 349

BT - Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007

T2 - 6th International Conference on Machine Learning and Cybernetics, ICMLC 2007

Y2 - 19 August 2007 through 22 August 2007

ER -

Deng HB, Jia YD, Xu YH, Liang W. An airborne image stabilization method based on projection and the gaussian mixture model. In Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007. 2007. p. 345-349. 4370167. (Proceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007). doi: 10.1109/ICMLC.2007.4370167

An airborne image stabilization method based on projection and the gaussian mixture model

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