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5下载：
该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进.-the program based on particle filter for a new algorithm, Integrated Bayesian MCMC
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3下载：
对基于粒子滤波的目标跟踪进行仿真，附带有最后仿真的视频。-Based on the target tracking particle filter are simulated, accompanied by the simulation of the video.
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粒子滤波技术在非线性、非高斯系统表现出来的优越性，决定了它的应用范围非常广泛。另外，粒子滤波器的多模态处理能力，也是它应用广泛有原因之一。国际上，粒子滤波已被应用于各个领域。在经济学领域，它被应用在经济数据预测；在军事领域已经被应用于雷达跟踪空中飞行物，空对空、空对地的被动式跟踪；在交通管制领域它被应用在对车或人视频监控；它还用于机器人的全局定位。
-Particle filter technology in the non-linear, non-Gaussian system demon
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the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking and positioning-the progra
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the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking -the program based on part
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根据粒子滤波原理，选取纹理特征对目标描述，跟踪视频目标-Based on particle filter, select the texture features to describe on the target to realize tracking video.
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很好用的几个matlab多目标视频跟踪的程序，有粒子滤波的，帧差法的等等，可以直接仿真运行-Good use of several multi-target video tracking matlab procedures, particle filter, frame difference method, etc., can be directly run the simulation
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基于粒子滤波和卡尔曼滤波的运动目标视频跟踪程序，非常强大和实用，强烈推荐学习使用。-Kalman filter based on particle filter and target video motion tracking program, very powerful and practical, it is strongly recommended to learn to use.
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real time implementation for video tracking based on color using particle filter in matlab
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利用 粒子滤波算法 实现的对视频图像中的运动目标定位的粒子。-Use of video motion targeting particle particle filter algorithm implementation.
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0下载：
该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等-The program for a new algorithm based on particle filter, comprehensive MCMC Bayesian Model Selection is MONTE CARLO algorithm of marek s chain, used to i
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粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
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多目标跟踪的粒子滤波器，匹配追踪和正交匹配追踪，实现了图像的灰度化并进一步用于视频监视控。- Multi-target tracking particle filter, Matching Pursuit and orthogonal matching pursuit, Achieve a grayscale image and further control for video surveillance.
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多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控，进行逐步线性回归。- Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance, Stepwise linear regression.
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Read virtually any media file in Windows, Linux, or Mac.
The model simulates streamflow precipitation and temperature data.
Tracking an object in a video with a Color Particle Filter
Use MATLAB to acquire sensor data built-in sensors on your An
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快速扩展随机生成树算法，多目标跟踪的粒子滤波器，实现了图像的灰度化并进一步用于视频监视控。- Rapid expansion of random spanning tree algorithm, Multi-target tracking particle filter, Achieve a grayscale image and further control for video surveillance.
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