Description: 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 Model Selection MONTE CARLO that Ma Erkefu chain algorithm, which can be used for target tracking, multi-target tracking, and video tracking and positioning. solve nonlinear problems of capacity than Kalman filtering, EKF, UKF much better, and I treasure the good stuff, now up with the share could not bear children, she sets the wolf, we hope that support each other and work together to promote. Platform: |
Size: 14336 |
Author:zhang |
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Description: 粒子滤波的Matlab的学习程序，特点是简单明了，多种参数可以设定，方便于理解算法原理。-Particle filter Matlab learning process, is characterized by simple and clear, a variety of parameters can be set up, easy to understand the algorithm. Platform: |
Size: 1024 |
Author:郭春生 |
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Description: 扩展卡尔曼滤波与粒子滤波的比较，对某复杂函数曲线的跟踪。-Extended Kalman filter and particle filter compared to the complexity of a function curve tracking. Platform: |
Size: 2048 |
Author:summer |
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Description: 结合论文讲述了例子滤波的原理，并且配合仿真，充分说明粒子滤波的有点。-Combination of filter paper describes examples of the principle, and with the simulation, the full description of a little particle filter. Platform: |
Size: 2152448 |
Author:ccf |
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Description: 通过WiFi信号的测量进行粒子滤波定位机器人 Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox 这个Matlab程序展示通过粒子滤波进行机器人的跟踪-WiFi signal measurement through the particle filter for robot positioning Particle filter for robot localization using WiFi measurements Matlab R2007b, Image Processing Toolbox of the Matlab program to demonstrate the robot through the particle filter tracking Platform: |
Size: 192512 |
Author:ice |
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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: A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram. Platform: |
Size: 13255680 |
Author:sofi |
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Description: 粒子滤波matlab程序，可用于机动目标跟踪，适用于非线性系统-Particle filter matlab program can be used for maneuvering target tracking for nonlinear systems Platform: |
Size: 4096 |
Author:chenchao |
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Description: 上传了几个基于“当前”统计模型的机动目标跟踪的程序，包括子程序和文献，还有粒子滤波的目标跟踪程序-From a few based on the " current" statistical model for maneuvering target tracking procedures, including routine and literature, as well as particle filter target tracking process Platform: |
Size: 414720 |
Author:星痕 |
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Description: This a Color Tracking example source code using Particle Filter.-This is a Color Tracking example source code using Particle Filter. Platform: |
Size: 13062144 |
Author:JHG |
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Description: 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！-These codes are used to realize particle filter based visual object tracking (PF), kalman particle filter based visual object tracking, unscented particle filter based visual object tracking. Their robustness is far beyond the classical visual object tracking algorithms such as Mean-Shift (MeanShift) and CamShift。The codes of KPF and UPF for visual object tracking cost a great of my energy, and you can not find any relating algorithm codes on internet! Our research group have optimized these codes and applied them to develop a platform for active visual object tracking. Now, I dedicate them to you and wish you love them! Platform: |
Size: 396288 |
Author:朱亮亮 |
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