并介绍了全局运动参数的估值。
This paper also describes the estimation of global motion parameters.
标签mpeg全局运动估计运动矢量。
利用参数空间对系统的全局运动性态作出定性的描述。
Taking advantage of the parameter's space the global motion of the system can be described qualitatively.
文中介绍了两种基于全局运动的摄像机运动检测方案。
Two kinds of camera motion detection systems are proposed in this paper.
然后利用刚性运动模型，获得包含旋转角度的全局运动矢量。
Then the global motion vector with rotary Angle can be deduced according to the rigid motion model.
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.
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.
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.
实验结果表明，与现有的全局运动矢量补偿相比，该方法可以获得更好的补偿效果。
Experimental result shows that this method is more effective than the existing global motion vector compensation, it has better compensation effect.
总体来说，视频的运动可以分为两类，一类是全局运动信息，一类是局部运动信息。
Generally speaking, video motions can be divided into two types, global motions and local motions.
采用的低码率视频编码方法是以全局运动补偿和局部运动补偿为核心的混合编码方法。
The coding method in low bit rate discussed in this paper is a hybrid encoding architecture, which combines global motion compensation and local motion compensation coding.
最后基于非线性最小二乘法对模型进行优化求解，得出了SR重建图像及其全局运动域。
Nonlinear least squares method is employed to solve the model to get the global motion area of SR resolution.
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.
将目标的运动分解为两部分，即全局运动和局部运动，并根据各自的动态特性分别进行预测。
The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their own dynamic behavior.
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.
算法采用灰度投影获取全局运动，用网格检测和灰度切分图精确匹配的方法获取更准确的运动数据。
The image motion is obtained by the gray project and then the motion data is accurately detected by the grid detection and bit plane match method.
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.
通过对运动特征提取算法进行研究，设计并实现了一个实用的全局运动特征和局部运动特征提取模块。
By study of the existing extraction and representation algorithm of motion information, a practicality module is designed and implemented mainly on global and local motion feature extraction.
视频中的运动特征通常可以分为全局运动和局部运动两种，分别表示摄像机运动和视频对象运动的特征。
Motion features in video can usually be divided into two types. They are global motion, which is caused by camera motion, and local motion, which is caused by video object motion.
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.
该方法首先提取出视频中每帧的全局运动和局部运动特征，然后通过粒子群算法自适应地提取视频关键帧。
This method first extracted the global motion and local motion features in each frame, and video key frame was extracted by Particle Swarm Optimization (PSO) adaptively.
在多分辨率光流估算的基础上，提出了一种基于光流拟和的方法用于对航拍视频图像中的全局运动进行估算。
A new model based global motion estimation method is proposed by fitting optical flow field for aerial video imagery.
通过局部运动矢量和刚体变换模型得到线性参数方程，并采用RANSAC算法进行求解，以获得全局运动参数。
A linear equation is constructed from the local motion vector and the rigid model, and it determines the global motion parameters by the popular RANSAC algorithm.
本文就针对全局运动补偿编码中核心技术进行研究，提出快速全局运动补偿编码算法，解决全局运动补偿实时编码问题。
This paper focuses some research on key problems of global motion compensation coding to solve real-time global motion compensation coding.
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.
射击，动作和运动类大多需要灵活的身手，实时战略则需要全局的统筹。
Shooting, action and sports games re-quire flexible movements and real time strategy usually needs overall consideration.
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