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Description: Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human
Motion Tracking
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Size: 208545 |
Author: ajie |
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Description: 多输入多输出系统的多用户信号盲分离MATLAB程序。-multiple-input multiple-output system of multi-user Blind Signal Separation MATLAB program.
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Size: 194560 |
Author: 宋亮 |
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Description: 一种基于卡尔曼滤波的自适应交互式多模型算法-Kalman filter based on adaptive interactive multiple model algorithm
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Size: 2048 |
Author: wzs |
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Description: 多模型卡尔曼滤波演示程序，从网下载的，可直接运行！-Multiple model Kalman filtering
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Size: 1024 |
Author: 家和 |
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Description: ACOUSTIC NOISE REDUCTION USING
A MULTIPLE-INPUT SINGLE-OUTPUT KALMAN FILTER
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Size: 352256 |
Author: siva |
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Description: 基于MATLAB的，交互式多模型算法卡尔曼滤波仿真代码-MATLAB-based, interactive multiple model algorithm for Kalman Filter Simulation Code
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Size: 28672 |
Author: zhxzhx |
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Description: 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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Size: 1024 |
Author: 汪俊 |
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Description: 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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Size: 309248 |
Author: wangyu |
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Description: 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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Size: 2048 |
Author: star308 |
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Description: Interactinf Multiple Model, Kalman Filter, Simulink
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Size: 431104 |
Author: hooya |
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Description: 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 (IMM) filters and smoothers
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Size: 115712 |
Author: xujian |
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Description: 基于DWT和Kalman滤波器的多目标跟踪算法的研究-a paper for a research.Multiple objects tracking based on DWT and kalman filter
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Size: 855040 |
Author: yanli |
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Description: 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 surveillance (video surveillance) system, and explores kalman filter to predict tragectory of objects. Experimental results demonstrate its outperformance.
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Size: 46080 |
Author: 朱亮亮 |
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Description: 一份关于单个目标跟踪和多个目标跟踪的KALMAN滤波资料,详细的解释个多种算法-A report on the single target tracking and multiple target tracking KALMAN filtering information, a detailed explanation of a multiple target
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Size: 4999168 |
Author: 洪程 |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion.
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Size: 484352 |
Author: linuszhao |
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Description: tracking multiple objects using kalman filter
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Size: 754688 |
Author: Mr |
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Description: 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state transition matrix IMM algorithm. Finally, the interacting multiple model Kalman filter algorithm Matlab simulation and results analysis.
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Size: 25600 |
Author: 王延飞 |
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Description: 针对多音频信号进行压缩感知，采用卡尔曼滤波算法对其进行恢复-Compressed sensing for multiple audio signals, Kalman filter algorithm to recover
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Size: 2762752 |
Author: 李新慧 |
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Description: 采用交互多模型算法（IMM）对机动目标进行跟踪的实现(Interactive multiple model algorithm (IMM) is applied to track maneuvering target.)
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Size: 1024 |
Author: Morpheusl |
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Description: 卡尔曼滤波原理及应用—MATLAB仿真主要介绍数字信号处理中的卡尔曼（Kalman）滤波算法及在相关领域应用。全书共7章。第1章为绪论。第2章介绍MATLAB算法仿真的编程基础。第3章介绍线性Kalman滤波。第4章讨论扩展Kalman滤波，并介绍其在目标跟踪和制导领域的应用和算法仿真。第5章介绍UKF滤波算法，同时也给出其应用领域内的算法仿真实例。第6章介绍了交互多模型Kalman滤波算法。第7章介绍Simulink环境下，如何通过模块库和S函数构建Kalman滤波器，并给出了系统是线性和非线性两种情况的滤波器设计方法(Principle and Application of Kalman Filter - MATLAB simulation mainly introduces Kalman filtering algorithm in digital signal processing and its application in related fields. The book consists of 7 chapters. The first chapter is the introduction. The second chapter introduces the programming foundation of MATLAB algorithm simulation. The third chapter introduces linear Kalman filtering. Chapter 4 discusses the extended Kalman filter, and introduces its application and algorithm simulation in the field of target tracking and guidance. The fifth chapter introduces the UKF filtering algorithm, and gives an example of algorithm simulation in its application area. The sixth chapter introduces the interacting multiple model Kalman filtering algorithm. Chapter 7 introduces how to construct Kalman filter by module library and S-function in Simulink environment, and gives the design method of Kalman filter for both linear and nonlinear systems.)
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Size: 13403136 |
Author: jianjian健健 |
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