Description: 目标跟踪的扩展卡尔曼滤波算法主函数的文件是：kal_demo.m
近似网格滤波的主函数文件是：bayes_demo.m
近似网格滤波划分网格的方法是：以目标上一个时刻的位置作为中心进行网格的划分，每个网格大小为1，总的区域为5*5
改进后算法的主函数文件是：trackiing_demo.m-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, with a total area of 5* 5 to improve the algorithm Platform: |
Size: 138240 |
Author:Lin |
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Description: 目标跟踪的扩展卡尔曼滤波算法主函数的文件是：kal_demo.m 近似网格滤波的主函数文件是：bayes_demo.m 近似网格滤波划分网格的方法是：以目标上一个时刻的位置作为中心进行网格的划分，每个网格大小为1，-Target tracking extended Kalman filter algorithm is the main function of the document: kal_demo.m approximate mesh filter paper is the main function: bayes_demo.m approximate mesh filter into the grid method is: in order to target the location of a moment as the central to carry out the division of the grid, each grid size of 1, Platform: |
Size: 94208 |
Author:王明 |
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Description: Random Set/Point Process in Multi-Target Tracking.
关于PHD滤波实现多目标跟踪很好的课件。-Random Set/Point Process in Multi-Target Tracking. On PHD filter multi-target tracking good courseware. Platform: |
Size: 657408 |
Author:周奇 |
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Description: 基于“当前”统计模型的模糊自适应跟踪算法
我存的一篇论文，拿来与大家共享-Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets.So it
may be difficult to meet all maneuvering conditions.The Fuzzy inference combined with Current statistical model is
proposed to cope with this problem.Given the error and change of error in the last prediction,fuzzy system on-line
determines the magnitude of maximum acceleration to adapt to different target maneuvers.Furthermore,in tracking problem
many measurement equations are non-linear.Unscented Kalman filter is applied instead of extended Kalman filter.The
Monte Carlo simulation results show that this method outperforms the conventional tracking algorithm based on current
statistical model in both tracking accuracy and convergence rate.
Platform: |
Size: 80896 |
Author:dailu |
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Description: 卡尔曼滤波是现代数字信号处理经典算法，本程序应用matlab语言实现利用卡尔曼滤波器跟踪机动目标。-Kalman filtering is a classic of modern digital signal processing algorithms, the application of this procedure using matlab language maneuvering target tracking Kalman filter. Platform: |
Size: 3072 |
Author:mengxiao |
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Description: 程序可以实现三维目标的跟踪监控，利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm Platform: |
Size: 1024 |
Author:张肖 |
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Description: 基于统计决策规则提出自适应采样数粒子滤波算法, 在定义综合性能风险函数的基础, 推导出粒子数与滤波误差方差之间的关系式, 使得在跟踪过程中, 可以根据目标的机动情况在线调节粒子数, 以使跟踪性能
达到最优。在Matlab仿真平台下进行了闪烁噪声下的机动目标跟踪实验, 结果表明, 自适应采样数粒子滤波算法是一种有效的机动目标跟踪方法, 跟踪性能较基本粒子滤波算法提高了3.17倍。-Based on statistical decision rules of the number of adaptive sampling particle filter algorithm, in defining the basis for comprehensive performance risk function derived particle number and the filtering error variance of the relationship between the type, makes the tracking process, it can be depending on the target-line adjustment of the motor case particle number in order to achieve optimal tracking performance. In the Matlab simulation platform, carried out the flicker noise under the maneuvering target tracking experiment results show that the number of particle filter algorithm for adaptive sampling is an effective method of maneuvering target tracking, tracking performance than the elementary particle filter algorithm increases 3.17-fold. Platform: |
Size: 289792 |
Author:胡瑾秋 |
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Description: 本程序包设计了一个利用Matlab编写的基于Kalman Filter的Target Tracking仿真器，可用于目标跟踪的仿真实验。-The design of a package written in Matlab, Kalman Filter for Target Tracking based simulator can be used for target tracking simulation. Platform: |
Size: 29696 |
Author: |
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Description: Kalman滤波实现目标跟踪，经过测试，能够精确跟踪视频中的小球-Kalman filter for target tracking, tested, able to accurately track the ball in the video Platform: |
Size: 432128 |
Author:lap |
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Description: 扩展kalman滤波在目标跟踪中的应用。给出了一种基于距离的目标跟踪算法Matlab源程序，并附上详细注释，程序调试通过，可直接运行。-Extended kalman filter in target tracking. Gives a target distance based tracking algorithm Matlab source, along with detailed notes, debugging through, it can be directly run. Platform: |
Size: 1024 |
Author:包军海 |
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Description: 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的环境有着较强的鲁棒性（对特性或参数扰动的不敏感性）。本文将粒子滤波运用于视频跟踪，与传统卡尔曼滤波器进行对比实验，通过实验结果进一步说明粒子滤波对卡尔曼滤波的优势，因此可以广泛的替代传统卡尔曼滤波器，应用于各个跟踪系统中。-Because in non-linear non-Gaussian environment the performance of traditional Kalman Filter in tracking of moving targets is very poor, the paper uses particle filter to track the moving target. Particle filter does not involve linearization around current estimates but rather represent the desired distributions by discrete random measures, which are composed of weighted particles. It has a high accuracy and a rapid convergence. The theory of target tracking based on particle filter is to use these weighted particles to estimate the states of targets. The simulation results of the target model show that in the non-linear non-Gaussian environment, the performance of the particle filter is better than extended Kalman Filter. Finally, we use the particle filter in video tracking, the experimental results further show that in the non-linear non-Gaussian environment the particle filter has a better tracking performance. Particle filter technology can be widely used for air to air, air-groun Platform: |
Size: 3072 |
Author:黎明 |
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Search - filter in target tracking