@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",
}