本文采用的是粒子滤波算法。
均值偏移和粒子滤波是它们的典型代表。
Mean shift and particle filter are their typical representatives, respectively.
重采样是解决粒子滤波退化问题的主要方法。
Resampling is a critically operation to solve degeneracy problem with particle filters.
研究了粒子滤波在测量船体变形时的应用情况。
The application of partial filter in measuring ship deformation is studied.
提出一种基于混合粒子滤波的运动火焰跟踪算法。
Hybrid particle filter based flame tracking algorithm is proposed in this paper.
提出一种基于粒子滤波的红外目标跟踪的新算法。
This paper presents a particle filter-based algorithm for IR target-tracking.
提出了一种基于粒子滤波的红外目标稳健跟踪新方法。
A novel method for infrared object robust tracking based on particle filters was proposed.
为提高被动跟踪性能，提出了一种高斯和粒子滤波方法。
To improve the performance of passive tracking, the Gaussian sum particle filter (GSPF) was proposed.
提出一种基于粒子滤波的复杂环境下人脸检测与跟踪算法。
A particle filter based face tracking algorithm under complex environment is provide.
而对于目标运动轨迹的预测，本文采用粒子滤波跟踪算法。
As for the target's track prediction, this paper USES the particle filter tracking algorithm.
粒子滤波（PF）是近年来兴起的一种最优非线性滤波方法。
Particle filter (PF) is an optimal nonlinearity filtering method which rises in recent years.
针对侦测系统性能低这一背景，提出一种基于粒子滤波算法的全息检测器。
Since the performance of the detection system is low, a holographic detector base on particle filtering is put forward.
与粒子滤波算法相比，其优点是不需要重采样步骤和不存在粒子退化现象。
Compared with the particle filter (PF), it avoids the resampling step and the particle degeneracy phenomenon.
试验表明，改进后的粒子滤波跟踪算法目标跟踪更加稳定，目标定位更加准确。
Experimental results show that particle filter tracking algorithm is more stable and more accurate than traditional particle filter tracking algorithm.
实验结果显示，与标准粒子滤波相比，该方法可以减少计算量和增强跟踪鲁棒性。
Experimental results show that the proposed method can reduce the computation load and increase the robustness of tracking compared with the standard particle filter.
提出了一种融合均值平移和粒子滤波的方法，综合了二者的效率和可靠性等优点。
The article presents a fusion method that combines mean shift and particle filter. It also integrates the efficiency and robust excellence of the two methods.
将集群智能思想引入粒子滤波，提出一种新颖的基于人工鱼群算法的粒子滤波器。
By bringing the thought of swarm intelligence into particle filtering, a novel particle filter based on the artificial fish school algorithm is proposed.
在估计目标状态时，采用了粒子滤波算法，设计了基于自适应表面模型的观测模型；
When estimating the target state, particle filter is adopted, and the observation model is designed based on the adaptive appearance model.
针对粒子滤波算法建议性函数的选择问题和粒子匮乏现象，提出了改进粒子滤波算法。
Aiming at the choice of proposal function and degeneracy problem in particle filter, an improved algorithm is put forward.
在粒子滤波中，防止粒子退化的两个关键因素是选择适当的采样建议分布和重采样算法。
In particle filtering, the two key issues for avoiding particles degradation are the choosing of proper proposal distribution and resampling algorithm.
针对复杂情况下变尺度目标跟踪问题，提出一种基于粒子滤波的自适应尺度目标跟踪算法。
To track objects with scale changes in a complex scene, a particle filter based object tracking approach is proposed in this paper.
为了解决非线性、非高斯系统估计问题，讨论了一种新的滤波方法——高斯粒子滤波算法。
A new Gaussian particle filter (GPF) is discussed to solve estimation problems in nonlinear non-Gaussian systems.
改进后的粒子滤波跟踪算法不但保持了较高的运算效率，而且还较好地提高了跟踪的稳定性。
The improved particle filter tracking algorithm not only keeps the high efficient operation, but also improves stability of target tracking.
本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景，研究弹道导弹目标粒子滤波算法。
In this paper, research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity, non-Gaussian noise.
我的主要工作是把粒子滤波算法引人到非线性贝叶斯动态模型中来，对非线性模型进行了模拟。
My main work is applying the particle filter algorithm to random simulate the non-linear Bayesian dynamic models.
然后我们介绍了常用的滤波技术，重点是以贝叶斯递推估计和蒙特卡罗方法为基础的粒子滤波。
Then we will introduce some common-used filtering techniques. Particle filter which is based on Bayesian estimation and Monte Carlo method will be emphasized.
粒子滤波技术是近几年出现的一种非线性滤波技术，它适用于非线性系统以及非高斯噪声模型。
The particle filtering is a nonlinear filtering technology, which is suitable for the nonlinear system and non-Gaussian noise model.
用UD分解改进EKF粒子滤波算法，并将其应用于基于星光仰角测量的探测器自主导航方案。
Using UD decomposing to modify EKF Particle filter was imported into the navigation scheme based on the measurement of elevation Angle of star.
用UD分解改进EKF粒子滤波算法，并将其应用于基于星光仰角测量的探测器自主导航方案。
Using UD decomposing to modify EKF Particle filter was imported into the navigation scheme based on the measurement of elevation Angle of star.
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