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ekfekfPDA.rar
- Bearing Only Tracking在多场景下的仿真程序 是本人在国外读书时研究项目中的导师和同事等共同开发 使用EKF(扩展KALMAN Filter)与PDA联合算法对target进行定位追踪,Bearing Only Tracking in a multi-scenario is the simulation program to study abroad when I research projects, such as mentors and colleagues to deve
demo_mtbot
- MCMC多目标仅角跟踪程序，可以在杂波环境下工作-MCMC only multi-target angle tracking program, you can work in cluttered environment
position
- 基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面 的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平 面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验 证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
matlabparticle
- 基于粒子滤波实现的纯方位目标跟踪，最后证明该算法收敛-Particle filter based on the realization of the bearings-only target tracking, the final proof of the convergence of the algorithm
apublier
- The multipath performance of a given signal/receiver combination depends on various signal and receiver parameters like signal type/modulation scheme pre correlation bandwidth and filter characteristics, chipping rate of code ,relative power levels o
IIWIA-RodrigoArnaut-AnnaCosta-rev
- This work considers a system of visual tracking of football players, which esteem the trajectories 2D in sequences of images captured for fixed cameras, installed around of a soccer field. The tracking allows to determine diverse parameters as, for e
03_02_EKF_UKF_Bearing_Only_Tracking
- EKF UKF Bearing Only Tracking
matlab_v
- Motion Tracking === === === This tarball contains all code required to run the tracking algorithm on a sequence of images. Run the file run_tracker.m in Matlab and follow the instructions. You will need to have a directory of sequentiall
yundong
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
SOLAR-TRACKING-SYSTEM
- This a power generating method from sunlight.This method of power generation is simple and is taken from natural resource. This need only maximum sunlight to generate power. This project helps for power generation by setting the equipment to get maxi
DrugsForYou
- 这是一个药房的自动处方跟踪系统（PTS）。（1）系统用于跟踪每个客户的一下信息： 1.客户姓名； 2.电话号码； 3.出生日期； 4.承保公司； 5.处方历史记录，详情如下。 （2) 每个客户的处方历史记录会记录每个处方的以下信息： 1.药房指定的唯一处方ID号； 2.处方开出的药物； 3.开处方的医师姓名和电话； 4.处方日期； 5.处方终止日期； 6.批准的再次给药次数； 7.每次按照药方抓药的“单位”数量， 其 中
VideoDemo
- 视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background fram
382
- Tracking people in a dense crowd is a challenging problem for a single camera tracker due to occlusions and extensive motion that make human segmentation difficult. In this paper we suggest a method for simultaneously tracking all people in a
ukf
- EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精
Bearings-Only-Tracking
- BOT模型的一种跟踪方法，使用粒子滤波实现-BOT model of a tracking method, using the particle filter implementation
bear-only-tracking
- 基于粒子滤波的纯角度跟踪算法，上附卡尔曼滤波，扩展卡尔曼滤波对比图-Pure point particle filter based tracking algorithm, the Kalman filter with extended Kalman filter comparison chart
ImgProcess2009-05-14
- 这是我读“图像识别与人工智能”研究生是，在实验室做图像处理与跟踪实验所用的框架程序。里面已经包含了如下函数模块： 图像显示：单幅图像显示，连续文件名的序列图像显示，SRC（纯数据图像文件）序列图显示 图像滤波、增强：均值滤波，灰度拉伸，图像减背景并拉伸 图像分割：自适应门限阈值分割，基于梯度的分割，基于最大熵的分割，OTSU分割， 图像加噪：图像加入随机噪声，序列图加噪声 图像轮廓：轮廓提取（只能对0-255二值图），轮廓跟踪（只能对0-255二
Two-variables-Kalman-tracking-state
- 两变量卡尔曼跟踪状态 只有一个观测结果，可同时获得多个状态变量 噪音可以是时变的，同时改变R Q看结果的不同-Two variables Kalman tracking state is only one observation can also get more state variable noise can be time-varying, while changing the RQ to see the results of different
multi-target-tracking
- 多目标跟踪中的交互式多模型数据关联，仅供参考，-Interactive multi-model data association in multi-target tracking for reference only, thank you