An airborne image stabilization method based on the Gaussian mixture model

被引：0

作者：

Hongbin Deng ^{[1
]}

Yunde Jia ^{[1
]}

Yihua Xu ^{[1
]}

Wei Liang ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2488 / 2492

页数：5

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