目标跟踪可概括为目标提取、运动参数估计、目标匹配几个过程。
Object tracking could he generalized as object extracting, estimation of parameters of motion.
该算法利用双目测距及基于点对应的运动参数估计原理，求取探测器的姿态和位置信息。
Present a binocular vision-based motion estimation algorithm, this algorithm using binocular measurement method and points-corresponding motion estimation, is an estimate of explorer motion.
运动参数估计在图像配准，电子稳像以及图像拼接中起着很重要的作用，其中块匹配算法是经常使用的一种方法。
Motion parameter estimation play an important role in image matching, electric image stabilizing and image Mosaic, and the block-matching algorithm is the most used method.
将自适应迭代松弛搜索算法RSA引入到MPEG4模型基编码的三维运动参数估计中 ，解决了估计算法的稳健性问题 。
The problem of robustness in the estimation algorithm is solved by applying relax iterative search algorithm (RSA) to motion estimation of MPEG4 model based coding.
本文提出了一种多个三维刚体运动的匹配和估计算法，将对应点匹配和运动参数估计结合在一起，转化为代价函数的最优化过程。
This paper presents a matching and estimation algorithm for 3-d rigid body motions, integrating the procedures of the point match and motion estimation into a global optimization process.
非饱和土壤水分运动参数的空间变异规律是大区域参数估计的基础。
Spatial variation pattern of water movement parameters in unsaturated soil is the base of parameter estimation in a large area.
提出了一种基于空间目标运动轨迹提取的矢量脱靶量参数估计新方法。
A new approach for estimating the vector parameters of the target is presented, which is based on the extraction of the target motion trajectory in space.
基于随机分形理论，采用分数布朗运动模型，应用R/S分析技术和基于小波变换的谱参数估计方法计算地震道信号的赫斯特指数。
The thesis based on random fractal theory, utilizing fractional Brownian motion model, using R/S analysis technique and wavelet transform method to estimate Hurst exponent which dep.
文章提出了一种水声网络探测节点的运动目标参数估计方法，即基于模型匹配原理的估计算法。
A moving target parameters estimation algorithm, which is based on the principle of model matching and used for underwater acoustic networks detection nodes, is proposed in this paper.
提出一种基于目标空间运动轨迹提取的矢量脱靶量参数估计新方法。
A new approach for estimating the vector miss distance parameters of the target is presented, which based on the extraction of the target motion trajectory in space.
运动图像序列参数估计是电子稳像的关键技术之一。
It is one of the important technologies in electronic stabilizing images to estimate the sequence of image motion.
针对运动目标参数估计问题，主要研究基于时频分析的参数估计方法。
The methods of motion parameters estimation are then investigated based on time-frequency analysis.
针对利用机载运动平台对窄带微波信号进行侦测的背景，研究了被动虚拟阵列(PASA)对窄带微波信号的参数估计性能。
In this article, performance of estimation of signal parameters in PAssive Synthetic Array (PASA) is studied, focusing on the background of airborne platform intercepting narrowband microwave signals.
针对利用机载运动平台对窄带微波信号进行侦测的背景，研究了被动虚拟阵列(PASA)对窄带微波信号的参数估计性能。
In this article, performance of estimation of signal parameters in PAssive Synthetic Array (PASA) is studied, focusing on the background of airborne platform intercepting narrowband microwave signals.
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