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.
在对现有视频运动分析方法进行分析比较的基础上，提出了一种基于视频中运动对象的运动特征提取方法。
On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.
下肢想象动作的脑电特征提取是基于脑-机接口技术实现下肢运动神经重建的关键点和难点。
EEG feature extraction from imaginary lower limb motor tasks is the key and difficult point of motor nerve reconstruction for lower limbs based on brain-computer interface technology.
本文研究了基于RCS序列的空间目标运动姿态判决、特征提取以及分类识别方法。
Moving statues adjudgement, character extraction and target classify methods of space targets based on RCS sequences are discussed in this paper.
该算法在CAD模型分割、建造、几何特征提取、生产车间以及机器人运动轨迹规划等方面都有很高的应用价值。
The algorithm have large application value in the many fields such as models partition, constructing, geometric character distilling in CAD, the manufacture shop and robot motion track planing.
它的研究主要由三部分构成：运动目标检测、特征提取和步态识别。
A gait recognition system consists of three primary parts: moving target detection, feature extraction and gait recognition.
该论文对相关的特征提取与匹配方法进行了简要介绍，主要关注的问题是运动参数和结构的计算，即运动估计部分。
The dissertation introduces the polular methods of feature extracting and matching briefly, while focuses on motion and structure parameters estimation.
在特征提取方面，提出了一种自适应背景更新的差分运动检测算法，该算法在运动对象轨迹的检测中对背景的抖动和光照条件的变化具有较好的鲁棒性。
In feature extraction, a difference motion detection algorithm of adaptive background updating is proposed, which has a good robustness to the changing of background and illumination.
该部分，使用第二届国际BCI竞赛的相关公开数据，针对想象左右手运动脑电信号采用离散小波变换方法进行了特征提取；
Oriented to the left vs. right hand motor imagery based BCI, research was carried out for the small number of samples from the public data sets of the 2nd International BCI Algorithm Contests.
该部分，使用第二届国际BCI竞赛的相关公开数据，针对想象左右手运动脑电信号采用离散小波变换方法进行了特征提取；
Oriented to the left vs. right hand motor imagery based BCI, research was carried out for the small number of samples from the public data sets of the 2nd International BCI Algorithm Contests.
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