搜索资源列表
Kalman
- 卡尔曼滤波在图像跟踪中的应用，实现图像的动态跟踪
target_tracking_using_kalman
- 基于kalman滤波的图像目标识别的matlab代码，将运动目标从背景中分离出来
readtext
- 使用Kalman滤波实现二维图像中目标的轨迹跟踪源代码 这个程序通过Kalman滤波实现目标轨迹跟踪，并预测目标下一出现的位置。它通过背景相减实现目标检测，然后把输出的结果交给Kalman滤波器，预测出下一出现的位置（红色），可以和实际出现的位置（绿色）相比较。
kalmangenzong.rar
- 利用卡尔曼滤波跟踪运动目标，最终实现运动目标的跟踪轨迹,Kalman lv bo de yun dong mu biao gen zong
kalmancode
- kalman滤波跟踪系统的源代码，初学者必看-kalman filter tracking system, source code, beginners must see
Target-tracking
- 使用Kalman滤波实现二维图像中目标的轨迹跟踪源代码-D Target tracking using Kalman filter
TargetTracking.rar
- 一个基于Kalman滤波的图像跟踪程序，内涵测试程序,Kalman filtering based on image tracking procedures, the connotation of test procedures
kalmanV.rar
- 采用卡尔曼滤波算法进行视频序列图像的跟踪，这个程序从简单易懂的角度实现了视频目标的跟踪。,Kalman filtering algorithm for video sequence image tracking, this process from the perspective of straightforward realization of the video target tracking.
upf_demos
- 里面包含kalman，扩展kalman，无迹kalman，粒子滤波，无迹粒子滤波等源码的实现。-upf--The Unscented Particle Filter
kalman-tracking
- 基于卡尔曼滤波的运动目标检测，matlab代码-Kalman filter-based moving target detection, matlab code
particale_filters
- 粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。-Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions
jpda
- 两个目标 交叉运动场景 Kalman滤波进行状态估计-Two goals two goals for cross-motion in the scene state estimation Kalman filtering
Filter
- OPENCV下的中值滤波，均值滤波，高斯滤波程序-OPENCV the median filter, mean filter, Gaussian filter procedure
kalmansourcecode
- 使用matlab_GUI编写，包括：扩展卡尔曼滤波，粒子滤波，去偏卡尔曼滤波和循环增益尔曼滤波的源程序，根据初始预测计算滤波值 再通过输入观测值进行卡尔曼滤波的仿真GUI界面程序-Matlab_GUI prepared to use, including: extended Kalman filter, particle filter, to the partial gain of Kalman filter and recycling thalmann source filter, acc
feedbackkf
- 该文件包含一个Simulink模型，它描述了一个高斯过程和卡尔曼滤波 -The zip file contains a Simulink model, which describes a Gassian process and the Kalman filter
Kalman_filter_C
- 卡尔曼滤波器的C代码实现， 简单明了，是学习 Kalman 的好程序。-kalman filter has been implemented in this document by C.
ParticleEx1
- 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.
PDA
- 一种用于多目标跟踪的改进PDA算法，北京理工大学学报上面的文章，、概率数据 关联滤波(p robab ility data associat ion f ilter, PDA )-A multi-target tracking algorithm improvements PDA, Beijing Institute of Technology Journal of the above articles, probabilistic data association filter (p ro
kalman
- 在VC6.0环境下用OPENCV实现卡乐曼滤波算法。-VC6.0 environment in the implementation cards with music OPENCV Cayman filtering algorithm.