搜索资源列表
RBPF
- 基本的RBPF粒子滤波源程序，能够用于目标跟踪及导航领域，适用于初学者使用-RBPF basic particle filter source, can be used for target tracking and navigation areas for beginners
paticle_filter_tracking
- 运用基于粒子滤波法和MEANSIFT算法实现视频序列的目标跟踪-The use of particle filter based algorithm and MEANSIFT tracking video sequences
25616579video_tracker
- 国外著名大学编写的利用粒子滤波器的目标跟踪算法-particle fitler visual tracking）-famous prepared by the University of particle filter target tracking algorithms (particle fitl er visual tracking)
aaka
- 基于卡尔曼滤波的动态目标跟踪算法，简单实用-Kalman filter-based dynamic object tracking algorithm, simple and practical
tma_ekf20100512
- 卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用-Kalman filter and extended Kalman filter algorithm to the application in target tracking
jjudf
- 多被动传感器UKF与EKF算法在目标跟踪的的应用，扩展卡尔曼滤波-More passive sensor UKF and EKF algorithm in target tracking applications
function-kalman
- 讲了卡尔慢滤波的跟踪程序 主要使用目标跟踪的-function kalman
PCA
- 采用PCA算法实现目标跟踪，内包含自适应模板更新，以及kalman滤波，希望可以帮助大家-Adopt PCA algorithm to realize the target tracking, contains adaptive kalman filter, and updating, hope can help you
pfvsmarginal
- 粒子滤波与PHD多目标跟踪比较，三目标分别进行粒子滤波和marginalPHD滤波跟踪比较结果。-PHD particle filter multi-target tracking compared with the three goals were to filter tracking particle filter and marginalPHD comparison.
project1.tar
- 华盛顿大学机器人课程的教学作业，是学习Kalman滤波和粒子滤波很好的仿真平台。稍加改动可以将该平台作为SLAM学习，多目标跟踪等问题的实验平台。深入学习可以得到更多回报，具体算法的实现可以参考本站内的EKF-SLAM和Fast-SLAM-You are to write a particle filter and a Kalman filter for robot localization. The scr ipt generates motion information according
Particle_demo1
- 基于matlab的粒子滤波目标跟踪算法，初学者很有用-Matlab-based particle filter target tracking algorithms , very useful for beginners
zizuokalman
- 卡尔曼滤波，zizuokalman机动目标跟踪简单例子-kalman filtern filtern filtern filtern filter
BAH1
- 用卡尔曼滤波和自适应窗口的均值偏移算法再结合Bhattacharyya系数粗定位实现视频目标跟踪-Kalman filtering and adaptive window mean shift algorithm combined with coarse positioning Bhattacharyya coefficient for video tracking
Particle
- 仿真实现了目标跟踪的粒子滤波跟踪，并对误差进行了统计- realize the particle filter
ckf4
- 一种非线性滤波算法 在目标跟踪中的应用(Application of a nonlinear filtering algorithm in target tracking)
当前统计模型+跟踪+卡尔曼滤波
- 基于 “ 当前 ” 统计模型的自适应不敏卡尔曼滤波算法(Adaptive Unscented Kalman Filtering Algorithm Based on Current Statistical Model)
卡尔曼滤波仿真程序用于匀速运动的目标跟踪
- 基于匀速直线运动下 进行卡尔曼滤波程序，包括仿真等，(Based on uniform linear motion under the Calman filtering procedures)
BPF_1_3
- 粒子滤波算法,用来实现目标跟踪 代码很多，很多图像处理方面知识，初学者不要下载(Particle filter algorithm is used to achieve target tracking)
demo1
- 利用Kalman滤波对运动目标跟踪的基本示例(A basic example of moving object tracking using Kalman filtering)
卡尔曼滤波原理及应用 MATLAB仿真pdf源程序
- 卡尔曼滤波的跟踪资料，附有程序源代码，有详细的解释(Kalman filter tracking data, with the source code, a detailed explanation)