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.
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。
The local motion vector of the block was determined by feature point matching.
通过特征点匹配，求其局部运动矢量；
Based on the smoothness property of flicker, a method detecting local motion is proposed.
基于闪烁参数函数空间光滑的特点，提出了一种局部运动区域检测的方法。
The target motion is divided into two parts, namely global motion and local motion, which are separately predicted according to their own dynamic behavior.
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。
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.
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。
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。
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.
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。
Then a linear system is constructed from these local motion vectors and solved to determine the global motion parameters which are refined by the motion iteration process.
用迭代最小二乘法求解使用局部运动矢量和运动模型建立的线性参数系统获得全局平移、旋转及缩放运动参数。
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.
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。
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.
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.
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。
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