摘要
针对机载视频图像受载体姿态运动及抖动而出现的不稳定现象,提出FAST-9角点与光流法结合的电子稳像算法。首先对参考帧提取FAST-9角点,利用光流法在当前帧找到匹配特征点以求取帧间运动矢量。采用卡尔曼滤波计算出补偿分量,对各帧图像进行运动补偿。经过稳像前后的视频序列帧间差值对比可知,很好地去除了视频序列的抖动。
The image sequence of airborne imaging equipment was taken as the research object.The feature matching by feature points was utilized to calculate the motion vectors between frames.Kalman f ilter was applied in the motion parameter estimation to remove the jitter component.To achieve motion vector compensation,the improved frame by frame compensation methods was presented.After contrast of the interframe difference in the video sequence between before and after stabilities,it is well done to remove the jitter of the video sequence.
出处
《科技资讯》
2019年第1期38-39,42,共3页
Science & Technology Information
关键词
FAST-9
光流法
机载视频
稳像
FAST-9
Optical flow algorithm
Airborne video
Video stabilization
