基于运动补偿的Snake视频对象跟踪算法

当对象移动幅度大时，Snake视频对象跟踪算法中的曲线迭代过程易陷入局部最小，为此，提出一种运动补偿预处理的解决方法。此方法预先估计对象的运动信息，然后对Snake曲线的初始轮廓位置进行运动补偿，最后进行Snake跟踪。实验表明，这种方法不仅跟踪效果好，而且能有效地减少Snake曲线演化的迭代次数。     

基于全局运动补偿编码的AVS编码器设计

对全局运动估计算法进行了改进的基础上,提出了基于全局运动补偿编码的编码体系,并实现了基于全局运动补偿编码的AVS编码器。通过标准测试序列的测试表明,基于全局运动补偿的编码器可以使重建图像的质量有一定程度的提高。     

基于仿射模型的重叠块运动估计补偿方法

本文对 Ｈ．２６３中基于平移模型的重叠块运动估计补偿方法进行改进,提出了一种基于仿射模型的重叠块运动补偿方法,该方法对复杂运动图像质量有明显改善。     

一种适用于遮挡问题的运动补偿帧插值方法

针对二维运动估计中常出现的遮挡问题,提出一种基于网格模型的运动补偿自适应帧插值技术,将图像帧中分为3种不同区域,根据各自的特点分别进行运动估计和运动补偿插值。在准确检测遮挡区域前提下,单独对遮挡区域处理有效地减小了运动估计误差。提出采用特征窗口运动补偿匹配的方法进行网格节点运动矢量估计,消除了传统块匹配方法导致的块效应,得到了亚像素的匹配精度。实验证明,该方法简单易行,有效地解决了遮挡区域的运动估计问题,插值图像具有较好的视觉效果。     

三角形网格基活动图像编码研究——运动估计、运动补偿和残差图像处理

本文深入讨论了三角形网格基（包括DTM和RTM）的活动图像编码方法，包括帧间运动预测及残差图像处理方法等。其中主要涉及三角形网格的分割方法，运动矢量计算和优化方法。实验结果表明，三角形网格基运动补偿比传统的矩形匹配BMA方法有更好的主客观质量。     

视频编码标准H．264的运动补偿技术分析

H.264/AVC建议是目前最新的视频压缩标准.本文分析研究了H.264建议中运动估计的关键技术,包括可变块大小、多帧和亚像素运动估计,并对多参考帧模式下进行多种测试序列的测试,并得出结论.     

一种快速全局运动补偿编码方法

全局运动补偿编码是一种基于模型的编码方法,它可以提高编码效率,但是目前由于全局运动补偿编码中的一些关键技术(全局运动估计)的计算量比较大,所以使得全局运动补偿编码还不能在实时应用中得到很好应用.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.通过和MPEG-4中已有的全局运动补偿编码方法实验比较可以看到本文提出的快速全局运动补偿编码方法在保证编码效率的同时编码速度得到了很大提高.     

基于图像内容的主动网格节点提取方法

基于内容的图像分割和建立运动目标模型都需要选择图像的特征点,均匀采样会丢失过多的细节特征。图像受噪声和光照的影响,通常特征点不是很稳健,普通的边界检测算子和角点检测算子对噪声敏感,提出采用2DGabor小波变换计算目标的局部特征能量,利用能量系数进行特征点检测,能很好克服噪声的影响;然后采用基于能量系数加权的动态聚类,提取局部特征点,避免了聚类中心偏离实际特征部位。通过特征点提取,建立一种基于图像特征的主动网格。     

基于同奇偶运动检测的运动补偿去隔行算法

提出了一种基于同奇偶运动检测的运动补偿算法.基于同奇偶的运动检测,充分利用了场的同奇偶特性,能提高运动检测的准确性.在运动检测过程中,通过设定门限,寻找到更合理的最佳匹配块(OMB),进而得到更精确的运动矢量.同时,改进的基于边界的行平均算法(E-ELA)也在算法中合理使用.实验结果显示,该算法能够得到更好的峰值信噪比(PSNR),也有更好的显示效果.     

一种新型基于运动补偿的自适应去隔行算法

去隔行是电视图像增强处理和视频格式转换的一项关键技术，传统的去隔行算法存在着难以克服的缺陷。文章提出了一种基于运动补偿的自适应去隔行算法，其中包括双向块匹配运动估计，消除块效应和自适应插值三个处理模块，实验证明本算法能够高质量且鲁棒地将场图像重建为帧。     

MOTION COMPENSATION BASED ON MOTION VECTOR INTERPOLATION

A modified block matching algorithm (BMA) with motion correlation constraint (MCCBMA) is proposed at first. Then a novel motion compensation algorithm (INTPMC) which computes motion vector for each pixel by interpolating motion vectors is presented. In order to increase interframe prediction performance and decrease the computational complexity, an optimizing algorithm for partial motion vectors is described at last. Experimental results show that the proposed algorithm can improve the prediction performance obviously with a moderately increased complexity compared with the conventional full search block matching algorithm (FSBMA).     

Multi-resolution motion estimation and compensation based on adjacent prediction of frame difference in wavelet domain

Aiming at the higher bit-rate occupation of motion vector encoding and more time load of full-searching strategies,a multi-resolution motion estimation and compensation algorithm based on adjacent prediction of frame difference was proposed.Differential motion detection was employed to image sequences and proper threshold was adopted to identify the connected region.Then the motion region was extracted to carry out motion estimation and motion compensation on it.The experiment results show that the encoding efficiency of motion vector is promoted,the complexity of motion es timation is reduced and the quality of the reconstruction image at the same bit-rate as Multi-Reso lution Motion Estimation (MRME) is improved.     

Motion direction estimation based on active RFID with changing environment

The gate system is used to estimate the direction of RFID tags carriers when they are going through the gate. Normally, it is difficult to achieve and keep a high accuracy in estimating motion direction of RFID tags because the received signal strength of tag changes sharply according to the changing electromagnetic environment. In this paper, a method of motion direction estimation for RFID tags is presented. To improve estimation accuracy, the machine leaning algorithm is used to get the fitting function of the received data by readers which are deployed inside and outside gate respectively. Then the fitted data are sampled to get the standard vector. We compare the stand vector with template vectors to get the motion direction estimation result. Then the corresponding template vector is updated according to the surrounding environment. We conducted the simulation and implement of the proposed method and the result shows that the proposed method in this work can improve and keep a high accuracy under the condition of the constantly changing environment.     

Motion compensation for very low bit-rate video

A combination of spatial transformation and image segmentation is used to compensate for non-uniform intensity changes in moving scenes. The method efficiently tracks movements such that the motion vectors alone can be employed to represent a moving object with complex motion. Using fast transformation and interpolation algorithms, it is shown that while the compression efficiency of the presented method is far superior to that of the conventional full search block-matching motion estimation, its computational complexity is still affordable.     

Backward motion compensation for interlaced HDTV

The pel-recursive approach to motion estimation has been widely studied for compensating progressively scanned, moderate-resolution video. Although pel-recursive algorithms may not be suitable for application to interlaced high-definition television (HDTV), the underlying principle of backward motion compensation, upon which pel-recursive algorithms are based, can be exploited to improve the existing motion compensation algorithms. This paper proposes applying a backward approach to motion compensation to improve the performance of standard block-based algorithms for motion-compensated interlaced HDTV sequences. First, we describe a framework for motion compensation in which motion information is parameterized by a motion operator and a domain for that operator. Within this framework, we characterize the type of motion information represented by forward (e.g. block-based) and backward approaches to motion compensation. We propose a method for combining these two sources of motion information to form an optimal motion-compensated prediction. Simulations on two interlaced HDTV sequences demonstrate performance improvements between 1 and 2 dB over standard block-based methods.     

相控阵雷达反演口径分布中的运动补偿

目标的径向运动对时序Ｗａｌｓｈ－Ｈａｄａｍａｒｄ相位权重反演相控阵雷达的口径幅相分布会产生影响,这一影响可以通过运动补偿的方法消除。运动补偿方法需要先测出目标的多普勒频率,由于目标运动对相控阵天线输出信号的影响是使该输出信号的相位产生偏移。这个偏移可以由多普勒频率计算得到,从而可以求解出经过运动补偿后的口径分布。多普勒频率的测频精度愈高,反演口径分布的误差愈小。数值仿真表明,１Ｈｚ的测频精度已足以     

基于Delaunay三角形网格的彩色视频帧间编码方法

充分利用彩色视频亮度和色度分量之间的相关性,提出了一种基于DT网格的彩色视频帧间编码方案。该方案在运动估计时仅对亮度分量Y进行DT(Delaunay triangulation)描述,对亮度分量的网格节点进行连续运动估计,利用6参数方法得到三角形内像素点的运动矢量,经过相似变换得到色度分量的运动矢量。另外对残差图像进行特殊处理和编码。实验结果表明,相对于适合低码率传输的H.263编码方法,在相同的压缩比下该方案解码图像有更好的主客观质量。     

基于运动矢量对消和差分原理的快速全局运动估计

该文针对全局运动估计计算复杂度过高的问题,提出了一种基于运动矢量对消和差分原理的快速全局运动估计方法。基于不同象限运动矢量对之间存在的对称抵消特性,首先估计出平移运动参数分量;再使用运动矢量对的差分原理,并结合一种置信判断的策略,估计出变换运动参数分量。在5组几何全局运动模型和真实视频序列上的实验结果表明,与基于迭代最小二乘(ILS)和基于偏导数(PD)的估计算法相比,该方法在保证估计精度的情况下,所需的平均计算时间只要它们的50％左右。