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：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多
特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究，
提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一
种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒
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本论文对跟踪闭环系统进行了设计，主要应用的是Matlab中的仿真构件，可以很好的跟踪目标，而且在其中对闭环系统进行了详细介绍，涉及到了卡尔曼滤波-The thesis of the closed-loop system was designed to track the main application is the simulation of Matlab component, can be a good target tracking, but also on the closed-loop
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是跟踪一个运动的篮球。采用的是Kalman滤波器与基于均值平移的目标跟踪算法相融合的扩展算法，为了跟踪快速运动的目标，首先对目标运动模型进行建模，并运用Kalman滤波器对目标在下一帧中的状态进行预测，并将此预测值作为均值平移算法搜索目标的起始点。-Is tracking a movement of the basketball. Kalman filter is used in the target mean shift based tracking algorithm extension o
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机动卡尔曼算法(VD算法)在扩展卡尔曼滤波诸算法中原理较为简单，目标跟踪效果也较好．-Motor the Kalman algorithms (VD algorithm) in the extended Kalman filter the Zhu algorithm is relatively simple principle, target tracking results would be better.
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一种用于多目标数据互联的matlab程序，在杂波环境下，实现卡尔曼滤波和最近邻数据数据互联，同时实现卡尔曼滤波与慨率数据的互联.-A method for multi-target tracking matlab procedures in a cluttered environment to achieve Kalman filtering and the data nearest neighbor data association, while achieving the interconn
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卡尔曼滤波运用在机动目标跟踪中的源程序，目标在二维平面的运动-Kalman filter used in the source maneuvering target tracking
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采用卡尔曼滤波器来对视频中的目标进行跟踪，带有一个产生视频的主函数，通过kalman滤波器实现对目标的跟踪，简单易懂-Kalman filter to track targets in the video, produced with a video of the main function, to achieve the target tracking by kalman filter, easy to understand
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在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
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粒子滤波器的C++版本代码。粒子滤波器是改进的卡尔曼滤波器，在目标跟踪领域运用非常广泛，对遮挡和尺度、光照等较鲁棒。-Particle filter C++ version of the code. Particle filter is improved Kalman filter, used in a very wide field of target tracking.It is robust to occlusion ,scale issue, illumination and so on
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GM_PHD_Filter
Version 1.09, 13th December 2013
Matlab code by Bryan Clarke b.clarke@acfr.usyd.edu.au with:
- some Kalman filter update code by Tim Bailey, taken from his website http://www-personal.acfr.usyd.edu.au/tbailey/software/
- erro
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将卡尔曼滤波器应用于雷达对海平面目标的跟踪,一个两坐标雷达对一海面上运动的目标进行观测-The Kalman filter is used in radar target tracking sea level, a target of a two-coordinate radar observations on the movement of the sea
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The extended Kalman filter (EKF) has been widely
used as a nonlinear filtering method for radar tracking
problems. However, it has been found that in
case cross-range measurement errors of the target position
are large, the performance of the
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提出一种多尺度理论与无味卡尔曼滤波
器(UKF)相结合的视频跟踪改进算法。利用多尺度理论统计跟踪窗内的信息量，使用 UKF 对得到的信息量进行预测，通过修正后的信息量
计算窗口变化比例系数，对尺度任意变化的目标进行跟踪。-An novel
method is proposed that is multi-scale space theory combined with Unscented Kalman Filter(UKF). UKF filter is introduced to
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卡尔曼滤波代码，用于在图像中对目标进行跟踪，鲁棒性好-Kalman filter code used in the image on the target tracking, robustness
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卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。-Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for lin
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基于卡尔曼滤波和粒子滤波的简单比较，用于高机动目标时时定位，以减少精度损失来换取目标跟踪定位时时性。-Relatively simple Kalman filter and particle filter-based positioning for high maneuvering targets time to time, in order to reduce the loss of precision target tracking in exchange for sex time to
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kalman滤波用于自由落体实验,本质上属于目标跟踪问题-Kalman filter used in free fall experiment, essentially belongs to the target tracking problem
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包含CV、CA、Single、当前、恒转弯速率、转弯模型，现代信号处理中谱估计在matlab中的使用，IMC-PID是利用内模控制原理来对PID参数进行计算，使用matlab实现智能预测控制算法，多目标跟踪的粒子滤波器，各种kalman滤波器的设计。-It contains CV, CA, Single, current, constant turn rate, turning model, Modern signal processing used in the spectral estima
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