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0下载：
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human
Motion Tracking
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本程序是matlab编写的imm（交互式多模型算法）目标跟踪程序。这种方法的特点是在各模型之间“转换”，自动调节滤波带宽，和适合机动目标的跟踪。,This program is matlab written imm (interacting multiple model algorithm) target tracking program. This method is characterized among the various models " conversion" ,
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FIMM自适应交互多模型的机动目标跟踪，FIMM_PDA.m为主程序-FIMM adaptive interacting multiple model target tracking, FIMM_PDA.m-based program
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基于交互式多模型的多目标跟踪算法与程序设计代码,Interacting multiple model-based multi-target tracking algorithms and programming code
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交互式多模型算法卡尔曼滤波仿真代码，程序中采用了两个模型-Interacting multiple model Kalman filter algorithm simulation code, the program uses two models
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交互式多模型粒子滤波程序（IMMPF）,分别仿真了三种结果下的IMMPF算法-Interacting multiple model particle filter program (IMMPF), respectively, the results of simulation of the three algorithms under the IMMPF
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交互多模型算法，用于目标跟踪等，是目前比较理想的算法之一-Interacting multiple model algorithm
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机动目标跟踪，交互式多模型算法，“当前”统计模型-Maneuvering target tracking, interacting multiple model algorithm, " current" statistical model
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Matlab交互式多模型UKF和EKF滤波程序（附说明文档）
-Matlab interacting multiple model UKF and EKF filtering procedures (with documentation)
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交互多模型估计的程序实现，作为交互多模型的基础程序，希望有用-Interacting multiple model estimation procedure to achieve, as the interacting multiple model based procedures in the hope helpful
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强机动目标跟踪的基本模型仿真，匀速，匀加速模型等，蒙特卡诺滤波的实现等。-Strong maneuvering target tracking simulation of the basic model, uniform, uniform acceleration model and so on, the realization of such蒙特卡诺filtering.
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交互式多模型算法！！ ！！！请提出意见-Interacting Multiple Model Algorithm! ! ! ! ! Please advise
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基于交互式多模型算法进行仿真，将CV，CA模型混合起来进行估计-Interacting multiple model-based simulation algorithm, the CV, CA model to estimate mixing
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基于交互式多模型的多目标跟踪算法与程序设计代码,其中一个传感器跟踪多个目标- Interacting multiple model-based multi-target tracking algorithms and programming code
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利用MATLAB语言计算交互多模型函数IMMKF-Calculated using MATLAB language interacting multiple model function IMMKF
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交互多模型，用一个函数来实现2个模型的交互-Interacting multiple model, with a function to achieve the two models of interaction,
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国外学者编写UKF、EKF、IMM的matlab源码和说明文档，注释清楚，条理性强。最新版本-The methods that are discussed in the current documentation are:
Kalman filters and smoothers.Extended Kalman filters and smoothers Unscented Kalman filters and smoothers Interacting Multiple Model (IM
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target tracking
The CV and CA models can be used to model the
distance between front and host vehicles, but we don’t
know when a specific model should be used. The
interacting multiple model (IMM) estimator [1] is an
algorithm which can be
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针对交互式多模型(IMM)算法的目标跟踪精度问题，提出了一种自适应模型集IMM算法．
利用IMM算法中的模型概率含义，并以此对模型集的收缩比例因子进行设计，这样模型集通过向
中心模型收敛可完成自适应调整，而自适应调整过程能有效、实时地利用观测信息．-Tracking accuracy, the goal of interacting multiple model (IMM) algorithm and an adaptive model set IMM algorithm.
IMM
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提出了一种基于粒子滤波的交互式多模型多机动目标跟踪算法 -an inter act ing mult iple model tar get t racking
algor ithm of mult iple maneuvering target s based o n part icle filter is pr opo sed
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