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利用Kalman Filter进行机动目标跟踪的例子，附有详细的说明文档-use for tracking moving targets example, with detailed documentation
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kalman滤波的源代码，主要用于运动跟踪时的目标预测，现在只有matlab的，-Kalman Filtering source code, mainly for tracking the target forecast Now only Matlab,
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Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
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1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assu
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kalman for human motion tracking
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卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。,Kalman filter is an " optimal recursive data processing
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ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
Bayesian Filter. Bayesian (Bayesi
a target tracking system MATLAB s
cubic spline curve fitting This i
book is widely used in engineerin
this
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很好的kalman滤波代码，可以有效地实现运动目标跟踪-It is very good code for Kalman filter，it can effectively achieve the target motion tracking
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TrackIT是一款开放式的机器视觉开发平台，目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件，并在不断添加更新中，采用开源OpenCV、WxWidgets、CMU139等标准工具，使用XML动态解析界面，所有参数在界面上直接调整，同时可立即看到调整效果，并可动态加载组件，可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
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用VC++实现的卡尔曼滤波源代码，对于跟踪定位帮助很大-Achieved using VC++ source code for Kalman filtering for tracking and positioning of great help
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采用多假设检验法实现多目标跟踪，建立了多目标跟踪/视频监控平台，结合卡尔曼滤波预测目标轨迹。用户可以自己修改相关代码。-This code complete multiple object tracking/multiple target tracking/multi target tracking/multi object tracking using multiple hypothesis test/multi hypothesis test, builds up a visual surv
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matlab编写的meanshift程序，在南加州大学例程的基础上做了修改，在初期学习meanshift上非常有用-meanshift for mobile tracking
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用于机动目标跟踪的交互式多模型算法完整实现程序，无BUG-For maneuvering target tracking interactive multiple model algorithm for the full realization of program, no BUG
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A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kern
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本程序是基于机动目标跟踪课题的整个算法程序，其中包括卡尔曼，扩展卡尔曼和粒子滤波程序及其仿真代码和仿真的图形。-This procedure is based on the subject of maneuvering target tracking algorithm for the whole procedure, including Kalman, extended Kalman and particle filter process and its simulation code and
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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
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Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implement
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Kalman filter for object tracking
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卡尔曼跟踪算法详细matlab程序~~~(Detailed matlab program for Calman tracking algorithm)
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用卡尔曼滤波进行目标跟踪，有matlab代码，可以借鉴。(Calman filter for target tracking, there is matlab code, can be used for reference)
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实现一维目标跟踪的自适应Kalman滤波方法(Adaptive Kalman filtering for one-dimensional target tracking)
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