利用像素的邻域信息来去除由于摄像机抖动和场景小运动产生的噪声。
Pixel's neighbor information is considered to remove noise due to camera jitter and small motion in the scene.
因为我们不想在摄像机中看到任何抖动，将插值调到20，关闭最优化选项。
And since we don't want any jittering in the camera, increase the interpolation to 20, and de-check Optimize.
提出了一种动态更新背景模型的方法，并针对高架摄像机的抖动问题做了优化。
We propose a dynamical method of renovating the model of background, and provide a better solution to the problem of video shaking unsteadily captured by camera.
该算法较好地解决了摄像机图像在水平与垂直方向的抖动问题。
This algorithm solves the quivering problem in horizontal and vertical directions of images made by video cameras.
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。
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.
针对摄像机不稳定引起的图像序列抖动提出一种基于块匹配的全局运动估计与补偿算法，介绍了它在电子图像稳定（EIS）系统中的应用。
In response to image quivering caused by video cameras, an algorithm of overall motion estimation and compensation is proposed based on block matching. Its application is introduced in EIS system.
采用新的快速M鲁棒估计法获得摄像机全局运动参数集；滤波该参数集滤除随机抖动带来的运动噪声。
The method got global motion parameters by local motion vectors through quick M-robust estimation; these parameters are filtered to remove stochastic motion noise.
采用新的快速M鲁棒估计法获得摄像机全局运动参数集；滤波该参数集滤除随机抖动带来的运动噪声。
The method got global motion parameters by local motion vectors through quick M-robust estimation; these parameters are filtered to remove stochastic motion noise.
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