首页 | 本学科首页   官方微博 | 高级检索  
     

基于Kalman滤波的稳像技术研究
引用本文:邢慧,颜景龙,张树江.基于Kalman滤波的稳像技术研究[J].兵工学报,2007,28(2):175-177.
作者姓名:邢慧  颜景龙  张树江
作者单位:北京理工大学,机电工程学院,北京,100081;中北大学信息与通信工程学院,山西,太原,030051;兵器工业系统总体部,北京,100089;北京理工大学,机电工程学院,北京,100081
摘    要:提出一种适用于视频侦察的实时电子稳像方法。采用特征点匹配法估计帧间全局运动参数,在建立参数运动模型的基础上,通过Kalman滤波确定各帧修正矢量。实验结果说明该方法可以较好地去除高频抖动,保留摄像机的主动运动,实现实时稳像。

关 键 词:信息处理技术  特征匹配  全局运动估计  Kalman滤波  数字稳像
文章编号:1000-1093(2007)02-0175-03
修稿时间:09 1 2006 12:00AM

Digital Image Stabilization Using Kalman Filtering
XING Hui,YAN Jing-long,ZHANG Shu-jiang.Digital Image Stabilization Using Kalman Filtering[J].Acta Armamentarii,2007,28(2):175-177.
Authors:XING Hui  YAN Jing-long  ZHANG Shu-jiang
Affiliation:1. School of Mechatronic Jingineering,Beijing Institute of Technology, Beijing 100081, China; 2. North China System Engineering Institute, Beijing 100089, China; 3. School of Information and Communication Engineering, North University of China, Taiyuan 030051,Shanxi, China
Abstract:A real-time stabilization system using Kalman filtering for video was presented. Inter-frame global motion vectors were predicted by feature matching based motion estimation. The global camera motion was defined in terms of constant velocity motion models, and Kalman filtering was employed to facilitate smooth operation. Experimental results for many video sequences show that the method can eliminate high frequency tremble, remain active motion of camera and realize real time image stabilization satisfactorily.
Keywords:information processing  feature matching  global motion estimation  Kalman filtering  digital image stabilization
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《兵工学报》浏览原始摘要信息
点击此处可从《兵工学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号