概率跟踪卡尔曼滤波和粒子滤波是这类方法的典型代表。
Kalman filter and particle filter is a typical representative of the probability tracking methods.
图像跟踪方法大致可分为两大类：概率跟踪方法和确定性跟踪方法。
Video tracking method can be divided into two categories:probabilistic tracking methods and deterministic tracking methods.
结合图像的灰度分布和空间布局，提出了一种基于灰度和空间信息的序列蒙特卡罗概率跟踪算法。
Incorporating intensity distribution and spatial layout, this paper proposes a sequential Monte Carlo probabilistic tracking algorithm using intensity and spatial information.
针对实际应用的不同侧重点，本文核心内容包括三方面：LV的运动矢量场估计、LV参数化运动跟踪模型和LV的概率跟踪模型。
To the different problems in practice, three main aspects are involved in this paper: the estimation of motion vector field, the parametric tracking model of lv and probability tracking model of lv.
研究人员对说话晚的宝宝进行跟踪调查后发现，在从幼儿到青春期的成长过程中，他们形成害羞、抑郁或侵略性性格的概率并不比同龄人高。
Researchers followed late talkers into their teens and found the kids were no more likely to be shy, depressed or aggressive than their peers as they grew up.
第一个步骤称作训练（training），它将通过查看已分类内容的示例来创建一个模型，然后跟踪与特定内容相关的各个词汇的概率。
The first step, called training, creates a model by looking at examples of already classified content and then keeps track of the probabilities that each word is associated with a particular content.
针对低检测概率下的无源定位问题，提出一种基于滑窗批处理的多传感器融合跟踪算法。
For the problem of passive location under low detection probability, a multi-sensor fusion tracking algorithm based on sliding window batch technique is presented.
这个算法在空间多分辨率框架下应用概率数据互联算法，在粗分辨率上实现模糊目标跟踪。
The probabilistic data association algorithm is applied in the spatial domain multi resolution frame and target tracking is implemented at the coarse resolution level.
传统的最邻近联合概率数据关联算法（NNJPDA）不能直接用于多传感器对多目标的跟踪。
The Nearest Near Joint Probabilistic Data Association(NNJPDA) is not used directly in multi-sensor multi-target tracking.
通过建立利用标记点跟踪和雾滴邻域匹配概率方法对相邻图像中的同一雾滴进行了匹配跟踪，能够实现对雾滴运动轨迹的拟合。
The trace of droplet in different frames has been tracked with the method, which is based on flag tracking and droplet neighborhood matching probability technique.
还提出了一种适合于实际工程应用的时空联合数据概率关摘要联算法，该算法解决了无源多传感器多目标跟踪的难题。
A time and space joint probabilistic data association algorithm is developed to solve the difficult problem of passive multisensor-multitarget tracking.
给出了参数自适应律和控制律，使得跟踪误差以概率1渐近衰减到零。仿真结果表明了该设计方法的有效性。
A parameter adaptive law and a control law were obtained to ensure asymptotic attenuation of the tracking error to zero with probability 1. The simulation results show the validity of the method.
联合概率数据关联算法是公认的多目标跟踪中有效的数据关联算法，但它的计算量过大，实时性不好。
The Joint Probabilistic data association algorithm (JPDA) is the accepted effective data association algorithm, but it has high computational load, and it's not a Real-time algorithm.
该方法能稳定地跟踪目标，不易丢失目标，并且提高了对目标的毁伤概率。
By using this method, an aircraft can be tracked stably and may not be lost and hence the aircraft damage probability can be improved.
随着不完全量测条件下探测概率的下降，传统光电跟踪系统的跟踪性能显著降低。
The tracking performance of traditional optic-electric tracking systems degenerates significantly when there is a drop of detection probability with intermittent observation.
概率数据互联(JPDA)算法能很好地解决密集环境下的多目标跟踪问题。
Joint Probabilistic Data Association (JPDA) algorithm can resolve the problem of tracking targets in clutter.
本文提出了一种基于多维可变跟踪门检测的序列概率比检验(SPRT)无源跟踪起始算法。
A new passive tracking initiation algorithm, the Sequential Probability Ratio Test (SPRT) algorithm based on detection with multidimensional variable tracking gate, is proposed in this paper.
模板的元素取自目标特征值的概率，通过48个卡尔曼滤波器可以跟踪所有特征值的概率变化。
The element of template is probability of eigenvalue of target. These probability are acquire by a kalman filter group which had 48 kalman filters.
针对手机定位的检测概率和定位精度等难题，提出了一种基于手持中继的多步CDMA移动终端跟踪定位方法。
This paper proposes a multiple phase palm relay station (PRS) based on positioning and tracking mechanism for CDMA mobile station (MS).
针对传统输入估计算法跟踪机动目标时检测概率和估计精度不高的缺点，提出一种改进的输入估计跟踪算法。
Aiming at the imprecision of maneuvering target tracking by using traditional input estimation algorithms, a modified maneuvering target tracking algorithm of ie is proposed.
领导团队提高设备可靠性，减少应急维修的概率、费用，跟踪日常维护。
Lead team to improve the machines' reliability; decrease the emergency repair rate; reduce the maintenance cost and follow up daily maintenance status.
用贝叶斯方法求解目标跟踪问题，实质就是求状态的后验概率密度。
The Bayesian solution to the problems of target tracking is essentially to calculate the exact posterior density.
对于运动空间目标检测跟踪模式，由于要实现对弱目标的检测并且尽量减少虚警概率，本文提出了一种融合的运动目标检测算法；
For the moving target tracking mode, this paper propor. es a fusion target detection algorithm to realize the detection for weak object.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础，结合最近邻（NN）方法或概率数据关联滤波（PDAF）方法实现杂波中的机动目标跟踪。
Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter.
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