AN AIRBORNE IMAGE STABILIZATION METHOD BASED ON PROJECTION AND THE GAUSSIAN MIXTURE MODEL

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 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.

关键词： Image stabilization Motion estimation Gaussian mixture model Motion compensation

作者: HONG-BIN DENG YUN-DE JIA YI-HUA XU WEI LIANG

作者单位: School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, P.R.China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 345-349

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）