Description: 卡尔曼滤波器运用于目标跟踪，据此编写的对于机动模型的仿真-Kalman filter used in target tracking, has been prepared accordingly for the motor model simulation Platform: |
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Author:star308 |
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Description: kalman滤波基本程序框架并针对匀速直线目标跟踪-kalman filter and the basic procedural framework for the uniform straight line tracking Platform: |
Size: 1024 |
Author:xzp |
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Description: 卡尔曼滤波对自由落体目标的跟踪和应用，并给出住真结果。-Kalman filter for target tracking and application of free-fall, and give live real results. Platform: |
Size: 1024 |
Author:周琳娜 |
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Description: 卡尔曼滤波是一种高效率的递归滤波器(自回归滤波器), 它能够从一系列的不完全包含噪声的测量(英文:measurement)中，估计动态系统的状态。本程序实现了基于kalman的目标跟踪。-Kalman filter is an efficient recursive filter (autoregressive filter), it can not completely contain from a series of noise measurements (in English: measurement), the estimated dynamical systems. Based on the Program for target tracking kalman. Platform: |
Size: 2048 |
Author:sunny |
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Description: 本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods. Platform: |
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Author:李辉 |
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Description: 本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners.
keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system. Platform: |
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Author: |
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Description: (UAV) has grown rapidly over the past decade. UAV applications
range from purely scientific over civil to military. Technical
advances in sensor and signal processing technologies enable
the design of light weight and economic airborne platforms.
This paper presents a complete mechatronic design process
of a quadrotor UAV, including mechanical design, modeling
of quadrotor and actuator dynamics and attitude stabilization
control. Robust attitude estimation is achieved by fusion of lowcost
MEMS accelerometer and gyroscope signals with a Kalman
filter. Experiments with a gimbal mounted quadrotor testbed
allow a quantitative analysis and comparision of the PID and
Integral-Backstepping (IB) controller design for attitude stabilization
with respect to reference signal tracking, disturbance
rejection and robustness. Platform: |
Size: 644096 |
Author:chanqua |
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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. Platform: |
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Author:linuszhao |
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Description: Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking Platform: |
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Author:raymond |
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Description: Kalman滤波原理及源码(matlab)-Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See tracking_demo.m for a demo of 2D tracking.
See learning_demo.m for a demo of parameter estimation using EM. Platform: |
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Author:阳光 |
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Description: Simulation and Kalman filter for a 3rd order kinematic model
Using a Discrete Wiener Process Acceleration (DWPA) model, we illustrate the usage of the Java implementation of the Kalman filter we presented in the previous post. The model we employ here is taken from Estimation with Applications to Tracking and Navigation.-Simulation and Kalman filter for a 3rd order kinematic model
Using a Discrete Wiener Process Acceleration (DWPA) model, we illustrate the usage of the Java implementation of the Kalman filter we presented in the previous post. The model we employ here is taken from Estimation with Applications to Tracking and Navigation.
Platform: |
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Author:hansen |
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Description: 一种基于Kalman滤波的视频对象跟踪方法
一种视频对象提取与跟踪的新方法-A Kalman filter-based video object tracking method for a video object extraction and tracking method Platform: |
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Author:刘必成 |
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Description: kalman正弦信号跟踪： 红色为原始状态输出；绿色为量测方程输出；黑色为状态方程输出；蓝色为卡尔曼滤波输出-kalman tracking sinusoidal signals: red output to its original state green measurement equation output black output for the equation of state blue for the Kalman filter output Platform: |
Size: 98304 |
Author:刘建 |
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Search - kalman filter for tracking