节点文献
基于Kalman滤波的稳像技术研究
Digital Image Stabilization Using Kalman Filtering
【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。
【Abstract】 A real-time stabilization system using Kalman filtering for video reconnaissance 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.
【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;
【Key words】 information processing; feature matching; global motion estimation; Kalman filtering; digital image stabilization;
【Key words】 information processing; feature matching; global motion estimation; Kalman filtering; digital image stabilization;
- 【文献出处】 兵工学报 ,Acta Armamentarii , 编辑部邮箱 ,2007年02期
- 【分类号】TP274.2
- 【被引频次】28
- 【下载频次】471