标签mpeg全局运动估计运动矢量。
面向运动背景，全局运动估计是提取运动目标广泛采用的方法。
A new method is proposed for the estimation of global motion from compressed image sequences.
通常电子稳像算法主要包括三部分：全局运动估计模块，运动平滑模块和运动补偿模块。
The most common video stabilization framework including three modules: global motion estimation, motion filter and motion compensation.
另外，根据预测的运动检测区域，设计了一种新的用于全局运动估计的局部区域选取方法。
In addition, according to the area forecasted, a new method is designed to select the local areas which are used for global motion estimation.
改进算法采用了全局运动估计范围动态可变的自适应方法，减小了计算量，扩大了估计范围。
To reduce the computational consumption and expand the range of global motion estimation, an adaptive dynamic range of global motion estimation was used in the improved algorithm.
在保证视频编码性能的前提下，加快全局运动估计收敛于稳定值，实现快速全局运动估计的目标。
It could converge rapidly the global motion estimation and achieve the fast global motion estimation while maintaining the coding performance.
帧间全局运动估计模块的设计目标是计算相邻帧的背景的相对运动的矢量，这一矢量被称为全局运动矢量。
The object of global motion estimation module is to calculate the relative motion vector of adjacent frames' background, that is, the global motion vector.
首先，对待合成视频，通过全局运动估计与补偿，将相邻帧在空间上对齐到当前帧。通过计算帧差，得到当前帧中的运动前景区域信息。
First, the information of the foreground areas in current frame is obtained with global motion estimation and image registration between current frame and temporally adjacent frames.
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.
算法从全局运动估计的基础出发，利用背景宏块运动相似性的特点快速建立背景宏块集合并采用常用的四参数全局运动估计模型估计运动参数。
From this point, the algorithm is implemented by searching and constructing a background image efficiently. With regard to global motion models, four-parameter estimation model is adopted.
实验结果表明：本方法具有鲁棒性好、全局搜索能力强、收敛速度快和可用于非刚性体运动估计等优点。
The experimental results show that this method has the advantages of robustness, global optimality and high convergent speed and it is feasible for optical flow estimation of nonrigid body.
在目标跟踪、视频编码等领域都需要对全局运动进行快速准确的估计。
Fast and accurate estimation of global motion is necessary in target tracking, video coding and etc.
最终的实验结果表明本文的方法能够很好的估计出全局运动的参数。
Experimental results on different type of global motions show that the proposed genetic algorithm based global motion estimation method is satisfying.
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.
应用推荐