Location:
Search - moment tracking
Search list
Description:
目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。
ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
trajectory.m产生理论的航迹，并绘出
Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计
filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线-target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve
Platform: |
Size: 122076 |
Author: 郭春吉 |
Hits:
Description:
目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据,
对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。
ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
trajectory.m产生理论的航迹，并绘出
Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计
filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线-target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve
Platform: |
Size: 121856 |
Author: 郭春吉 |
Hits:
Description: dm642上实现运动目标检测与跟踪，使用了矩持法，基于梯度的图像分割，匹配跟踪，形心跟踪等算法。-DM642 realize the moving target detection and tracking, using the moment持法, gradient-based image segmentation, matching tracking, centroid tracking algorithm.
Platform: |
Size: 659456 |
Author: |
Hits:
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 |
Hits:
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 |
Hits:
Description: 供大家学习Silverlight之用.用到了很多在网上暂时找不到的技术.如跟踪SL中的DataGrid控件的行数据.-Study for U.S. use in Silverlight. Used the Internet at the moment can not find a lot of technology. SL such as tracking the DataGrid data control line.
Platform: |
Size: 2588672 |
Author: yefeng |
Hits:
Description: 功能为２０００年到２０９９年的闰年、大小月、星期自动跟踪计时，年、月、日、星期、时、分、秒显示。停电时单片机由电池供电，计时不会丢失。该电子钟还可设定一个在某时刻打开，某时刻关闭的定时开关。-Function from 2000 to 2099 a leap year, size of the months, weeks, automatic tracking time, year, month, day, week, hours, minutes and seconds display. Battery-powered microcomputer power outage, time is not lost. The clock can also be configured to open one in a certain moment, a moment of off timer switch.
Platform: |
Size: 5120 |
Author: qwwqe |
Hits:
Description: 对图像进行纹理处理，为图像识别、目标跟踪创造条件。主要分析：惯性矩、熵以及局部平衡性。-The image texture processing for image recognition, target tracking and create conditions. Main analysis: moment of inertia, entropy, and local balance.
Platform: |
Size: 3544064 |
Author: 柳胜 |
Hits:
Description: 运用计算力矩法仿真控制，使漂浮空间机器人关节轨迹跟踪给定的期望轨迹。-By using the computational method simulation control, that moment floating space robot joints trajectory tracking of the given desired trajectory.
Platform: |
Size: 3072 |
Author: |
Hits:
Description: 本次实验来源于opencv自带sample中的例子，该例子是用kalman来完成一个一维的跟踪，即跟踪一个不断变化的角度。在界面中表现为一个点在圆周上匀速跑，然后跟踪该点。看起来跟踪点是个二维的，其实转换成角度就是一维的了。
Kalman滤波理论主要应用在现实世界中个，并不是理想环境。主要是来跟踪的某一个变量的值，跟踪的依据是首先根据系统的运动方程来对该值做预测，比如说我们知道一个物体的运动速度，那么下面时刻它的位置按照道理是可以预测出来的，不过该预测肯定有误差，只能作为跟踪的依据。另一个依据是可以用测量手段来测量那个变量的值，当然该测量也是有误差的，也只能作为依据，不过这2个依据的权重比例不同。最后kalman滤波就是利用这两个依据进行一些列迭代进行目标跟踪的。-This experiment from the examples the opencv own sample, the example is to complete a one-dimensional tracking using kalman, ie, tracking a changing point of view. Performance in the interface as a point in the circle on steady running, then track the points. Looks like the tracking point is a two-dimensional, in fact, convert the angle is one-dimensional. The main application of the Kalman filter theory in the real world, not the ideal environment. Is the value of a variable to keep track of the basis for tracking the first according to the equation of motion of the system to the value forecast, for example, we know the velocity of an object, then the following moment of its location in accordance with the truth can be predicted , but the forecast is certainly a margin of error, only as a basis for tracking. Another is based on measurements to measure the value of that variable, Of course, this measurement error can only be used as the basis of these two basis weights the different pr
Platform: |
Size: 339968 |
Author: wuwei |
Hits:
Description: 用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
-Target tracking application context radar data processing, radar in the search to the goals and objectives of the record location data of the measured target position data (called a point of the track) processing, automatic formation flight path, and the target in the next The moment the position prediction. This article briefly discusses the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to assess the effect of the experimental.
Platform: |
Size: 13312 |
Author: 徐天宇 |
Hits:
Description: 用falman滤波进行目标的识别和跟踪，此外还使用了矩不变性-Falman filtering target identification and tracking, in addition to using the Moment invariance
Platform: |
Size: 1024 |
Author: 庞星 |
Hits:
Description: 一个比例和方向自适应均值漂移跟踪算法（SOAMST）
提出本文所要解决的问题，如何估计的规模和方向
改变均值漂移下的目标跟踪框架。在原来的均值偏移
跟踪算法，可以很好地估计目标的位置，规模的同时，
方向的变化，不能自适应估计。考虑到图像（重量）
是来自于目标运动模型和候选模型可以代表的可能性，一个
像素属于目标，我们证明了原来的均值漂移跟踪算法可以
推导出的重量图像的零阶和一阶矩。随着零阶
矩和目标模型和候选模型之间的Bhattacharyya系数，
提出了简单而有效的方法来估计的规模为目标。然后一种方法，
利用估计的区域和第二阶中心矩，提出
自适应地估计目标的宽度，高度和方向的变化。广泛
实验来证实所提出的方法，并验证其可靠性
规模和方向变化的目标。-A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is
proposed in this paper to address the problem of how to estimate the scale and orientation
changes of the target under the mean shift tracking framework. In the original mean shift
tracking algorithm, the position of the target can be well estimated, while the scale and
orientation changes can not be adaptively estimated. Considering that the weight image
derived from the target model and the candidate model can represent the possibility that a
pixel belongs to the target, we show that the original mean shift tracking algorithm can be
derived using the zeroth and the first order moments of the weight image. With the zeroth order
moment and the Bhattacharyya coefficient between the target model and candidate model, a
simple and effective method is proposed to estimate the scale of target. Then an approach,
which utilizes the estimated area and the second order center moment, is proposed to
adaptively e
Platform: |
Size: 2013184 |
Author: 吴盈 |
Hits:
Description: 采用变速控制力矩陀螺的航天器自适应姿态跟踪和稳定控制研究-Using variable speed control moment gyros Spacecraft Adaptive Attitude Tracking Study and stability control
Platform: |
Size: 327680 |
Author: 王德杰 |
Hits:
Description: 频率测量vi，包括ESTI、比例法、多项式逼近法、多周期平均计数法、仿真信号源、能量矩平衡、频率跟踪、三点法-Frequency measurement vi, including ESTI, ratio method, polynomial approximation method, average more cycle counting method, the simulation signal source, energy moment balance, frequency tracking, three point method
Platform: |
Size: 153600 |
Author: 李玟 |
Hits:
Description: 基于MATLAB利用Particle-in-cell模型,对梯形管内壁等离子体离子注入过程,进行了二维数值模拟.计算结果表明在中心电极附近出现了“阳极鞘层”,该鞘层内部不存在离子,而且在鞘层边缘离子密度最高.在上下管壁上的离子注入剂量呈现“m”形分布.通过对注入过程中等离子体密度分布和不同时间段管壁不同位置离子注入剂量的跟踪,发现“阳极鞘层”扩展行为是导致“m”形分布的原因.由于梯形管形状的不对称性,“阳极鞘层”的边缘向梯形长底方向扩展较快.在注入初始时刻离子注入的能量很低,随着时间延长离子能量逐渐升高,这是由离子初始位置决定的.可见梯形管自身形状决定了鞘层形状和最终的离子注入能量和剂量分布.-Based on MATLAB use Particle-in-cell model, the trapezoidal pipe wall plasma ion implantation process, the numerical simulation of two-dimensional calculation results show that in the vicinity of the center electrode to a "anode sheath," which does not exist inside the plasma sheath, and the highest in the sheath edge ion density ion implantation dose showing the upper and lower walls of the "m"-shaped distribution through the process of injecting the plasma density distribution and the wall at different locations in different time periods ion implantation dose tracking, found that "anode sheath "extension behavior is leading to" m "-shaped distribution of the reasons due to the asymmetry of the trapezoidal shape of the tube," Edge anode sheath "extension to the end of a long trapezoid direction quickly in the initial moment of implantation energy ion implantation is low ion energy with time gradually increased, which is determined by the initial position of the ion. visible trapezoida
Platform: |
Size: 777216 |
Author: 王斌 |
Hits:
Description: 采用变速控制力矩陀螺的航天器自适应姿态跟踪和稳定控制研究，编程学习源码，很好的学习资料。-With variable speed control moment gyros Adaptive Spacecraft Attitude Tracking Study and stability control, programming, learning code, good learning materials.
Platform: |
Size: 329728 |
Author: 孙国 |
Hits:
Description: 本仿真系统提供了一个对导弹进行精确制导打击飞行目标(F14)的仿真平台。系统首先仿真雷达获取飞行目标的飞行信息，包括飞行速度与飞行姿态；接着导弹基于飞行接近的追踪算法产生当前时刻导弹的速度与姿态；整个系统的构成包括有：F14战斗机3D模型，空空导弹3D模型；仿真雷达站。-This simulation system provides a to precision-guided missiles hit target (F14) flight simulation platform.Simulation radar system first flight target flight information, including the flight velocity and flight attitude Then missile tracking algorithm based on flying close to produce the current moment missile velocity and attitude Composition of the whole system includes: F14 fighter 3 d model of air-to-air missile 3 d model The simulation radar station.
Platform: |
Size: 588800 |
Author: liangda |
Hits:
Description: 压缩跟踪 是一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for compression perception RIP moment of perception dimension reduction of multi-scale image characteristics, and then after the dimension reduction on the characteristics of simple simple bayesian classifier to classify. The tracking algorithm is very simple, but the result of the experiment is very robust, speed can reach about 40 frames per second
Platform: |
Size: 3585024 |
Author: 陈镜宇 |
Hits:
Description: 图像数据操作（内存分配与释放，图像复制、设定和转换）
图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出）
矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解）
支持多种动态数据结构（链表、队列、数据集、树、图）
基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构）
结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
摄像头定标（寻找和跟踪定标模式、参数定标、基本矩阵估计、单应矩阵估计、立体视觉匹配）
运动分析（光流、动作分割、目标跟踪）
目标识别（特征方法、HMM模型）
基本的GUI（显示图像/视频、键盘/鼠标操作、滑动条）
图像标注（直线、曲线、多边形、文本标注）-mage data manipulation (memory allocation and release, image copy, setting, and conversion)
Image/video input/output (support file or camera input, image/video file output)
Matrix/vector data manipulation and linear algebra operations (matrix multiplication, matrix equations, eigenvalue, singular value decomposition)
Support for a variety of dynamic data structures (linked list, queue, data set, tree, graph)
Basic image processing (denoising, edge detection, corner detection, sampling and interpolation, color transformation, morphological processing, histogram, image Pyramid structure)
Structure analysis (connected domain/branch, contour processing, distance transform, image moment, template matching, Hof transform, polynomial approximation, curve fitting, ellipse fitting, the triangulation of the
Camera calibration (search and tracking calibration mode, parameter calibration, basic matrix estimation, single stress matrix estimation, stereo vision matching)
Motion analysis (opti
Platform: |
Size: 3723264 |
Author: korbon |
Hits: