Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906-Author: David Sedarsky Summary: MatLab GUI for interface tracking and edge velocity determination MATLAB Release: R14SP2 Required Products: Image Processing Toolbox Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract . cfm? URI = ol-31-7-906 Platform: |
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Author:Jallon |
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Description: 根据二维空间内目标作匀速直线运动和匀速圆周运动的特点，在建立目标运动模型和观测模型的基础上采用基于交互多模算法（IMM）的卡尔曼滤波器对机动目标进行跟踪。仿真结果表明，该算法不仅能够对匀速直线运动和匀速圆周运动的目标进行跟踪，而且在运动模型发生变化时，滤波误差也比较小。
关键词：卡尔曼滤波器；目标跟踪；机动；交互多模（IMM）
-two-dimensional space under target for uniform linear motion and uniform circular motion characteristics, the establishment of the target model and observations on the basis of the model based on interactive multi-algorithm (IMM) Kalman Filter right track moving targets. Simulation results show that the method can not only on uniform linear movement and the uniform circular motion of the target tracking, and the campaign model change, the filter error is relatively small. Keywords : Kalman filter; Target tracking; Mobility; Interactive multi-mode (IMM) Platform: |
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Author:zhangyun |
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Description: 粒子滤波的训练部分.理论部分参考michael isard的博士论文<Visual Motion Analysis by Probabilistic Propagation of Conditional Density>learn a dynamical matrix部分.训练集合和采集需要的图片都包含了(原用于手势跟踪,故图片均为手势图片).采集代码使用另外一个代码image_demo(已上传)-Particle filter part of the training. Michael isard theory some reference to the doctoral dissertation <Visual Motion Analysis by Probabilistic Propagation of Conditional Density> some learn a dynamical matrix. the training needs of the collection and gathering images are included (the original track for the gesture, so pictures are hand picture). collection code to use a different code image_demo (already uploaded) Platform: |
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Author:Rongbin |
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Description: 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
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m.-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
sequentially numbered images available. After entering the path and
file types the tracker will begin processing. Once the data window
appears the algorithm begins building a background model and attempts
to track objects. By clicking on any of the four subwindows you can
investigate the background representation (a Mixture of Gaussians) of
any pixel. The two windows that then appear display the mixture once
as a two-dimensional scatter plot (ignoring the blue colour
component), and once as a one-dimensional evolution of the red colour
component only. These plots make the internal processing visible and
should help determining suitable parameters to be set in
mixture_parameters.m. Platform: |
Size: 36511744 |
Author:gobsy |
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Description: 三点法跟踪运载火箭系统跟踪目标弹作匀速直线运动，拦截弹做匀速率运动。里面微分方程是用欧拉法求解的，为了提高精确度，改成四阶龙格库塔法-Tracking system to track the target missile launch vehicle for uniform linear motion, interceptor uniform rate of movement to do. Which is Euler' s method for solving differential equations, in order to improve accuracy and change into a fourth-order Runge-Kutta method Platform: |
Size: 22528 |
Author:zhxzhx |
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Description: In this implementation of tracking a ball, we will track a live ball using Kalman filter. The tracking will switch to autorun mode when the sight of the ball is lost and Kalman will estimate the motion based on it s previous states Platform: |
Size: 299008 |
Author:sofi |
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Description: 采用JPDA数据关联算法实现两个个匀速运动目标的点迹与航迹的关联-JPDA data association algorithm using a uniform motion of two point targets associated trace and track Platform: |
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Author:刘杰 |
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Description: 本实验设计了一个《导弹打飞机》的动画演示程序。建立地面坐标系，横轴x代表水平射程，纵轴y代表垂直高度，单位均为km。假设导弹的初始位置为(0，0)，飞机的初始位置为(20，0)，飞机在20km高度以1km/s的速度做水平匀速直线运动，导弹从地面发射，以2km/s的速度做等速运动，以追踪法对飞机进行打击，即导弹的速度方向始终沿着弹目视线且指向目标。-The experimental design was a " missile hit the aircraft," the animated demo. Establishment of ground coordinates, the horizontal axis x represents the level range, representative of the vertical height of the vertical axis y, units are km. Assuming the missile' s initial position is (0,0), the aircraft' s initial position (20.0), aircraft altitude at the 20km to 1km/s speed to do the level of uniform linear motion, the missile launched from the ground to 2km/s constant speed of movement to do in order to track the method of combat aircraft, the missile' s velocity is always along the direction of line of sight and the target missile to the target. Platform: |
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Author:abler |
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Description: OpenTLD,捕食者物体跟踪算法。使用C++实现，不需要Matlab。这个系统能够通过分析物体的运动来完善跟踪算法。你能在很短的时间里教会它跟踪你的手指、面孔或在高速公路上狂颠的轿车。-OpenTLD predator object tracking algorithm. Use C++ to achieve, does not require of Matlab. This system is able to analyze the motion of the object to improve the tracking algorithm. In a very short time you can teach it to keep track of your fingers, face, or mad Britain' s car on the highway. Platform: |
Size: 31682560 |
Author:钟浩涛 |
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Description: MATLAB编程案例 小圆绕大圆内或外侧运动求小圆上一点的轨迹并画图-MATLAB Programming cases or outside the small circle around the great circle motion seeking a little on the small circle of track and drawing Platform: |
Size: 196608 |
Author:鲁浩洋 |
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Description: matlab实现在三维空间中两个目标的航迹模拟并画出轨迹。先匀速直线运动，而后转弯，再进行匀速直线运动-matlab simulation and draw the trajectory track to achieve two goals in three-dimensional space. First uniform linear motion, then turn, then the uniform linear motion Platform: |
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Author:HaoQiu |
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Description: A three-body simulation matlab small procedures, parameters can be modified after the track and watch planetary motion picture production Platform: |
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Author:是是是 |
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Description: 本文首先研究了ISAR成像的基本原理，在理想转台模型的基础上对距离-多普勒(R-D)成像算法做了分析，对目前常用的运动补偿技术进行了对比和研究，并将这些技术用于雅克-42飞机的实测数据中。然后，论文系统地论述了压缩感知主体理论，重点对信号重构中的基追踪(BP)算法和正交匹配追踪(OMP)算法进行了深入的研究和讨论，并通过正弦信号的仿真结果验证了两种方法的有效性。-Firstly, the basic principle of ISAR imaging study, based on an ideal model for distance turntable- Doppler (RD) imaging algorithm to do the analysis of the motion compensation techniques currently used are compared and studied, and the use of these technologies in the measured data in the Yak-42 aircraft. Then, the paper systematically discusses the theory of compressed sensing body, focusing on the signal reconstruction of the base track (BP) algorithm and orthogonal matching pursuit (OMP) algorithm is conducted in-depth studies and discussions, and the simulation results verify the sinusoidal signal the effectiveness of the two methods. Platform: |
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Author:tianyuetong |
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Description: matlab源程序，包含两个文件，主体是采用JPDA数据关联算法实现两个匀速运动目标的点迹与航迹的关联-matlab source, contains two files, the subject is using JPDA data association algorithm to achieve two goals uniform motion trace and track the point Platform: |
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Author:yang |
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Description: 水面无人艇(Unmanned Surface Vehicle)的航迹控制对提升无人艇艇载设备
侦察观测效果以及多任务作战能力具有十分ffi要的意义。由于受到风、浪、流等
干扰环境影响,水而无人艇将产生六自由度的操纵运动,具有很强的非线性和随
机性。这将致使无人艇的航向航迹及姿态控制具有一定的难度,因此需要对水面
无人艇建立六自由度操纵模型,更好地实现对无人艇的控制。
采用经典的MMG分离建模思想,依托浜本刚实提出的水平附体坐标系,建
立水面无人艇的六自由度操纵运动方程。分析无人艇艇体、桨、舵所受的流动动
力和力矩,分别建立流体惯性力模型、流体粘性力模型、螺旋桨推力模型及舵机
模型。
考虑海况和气象环境的影响,分析风、浪作用于无人艇上的T扰力。将随机
风简化为定常风,建、风的干扰力数孕模型 采用傅汝德-克茁洛火(Froude - Krylov)
假设,研究规则波中无人艇受到的T扰力,述立波浪的r扰力数学投型。
在数学模型的站础上述立?于MATLAB/Simulink的仿i t校型,并进行典型的
冋转试验,分别分析不同海况下的无人艇的问转情况。无人艇丨 丨主航行时,在不
同海况下,绘制出其航速及船摇炻的变化曲线。通过总结分析,推论出多种海况
-The course and track control of unmanned surface vehicle (USV) is important to
improve the observational effect of the recon reconnaissance equipment and the multi-
-mission operational capability. Because of the effects of wind, wave and flow, the
unmanned surface vehicle will produce six degrees of freedom movement which has
randomicity and nonlinearity. It is difficult of the course, track and attitude control of
unmanned surface vehicle, so six degrees of freedom movement model is built for the
better control of unmanned surface vehicle.
According to the classic MMG s separated modeling theory and the horizontal
body axes system which was developed by Hamamoto, this thesis describes a six
degrees of freedom motion equation of unmanned surface vehicle. Through analyzing
the hydrodynamic force and moment, the fluid inertia force model, the fluid viscous
force model, propeller thrust model and steering gear model are built respectively.
Considering Platform: |
Size: 4958208 |
Author:曹诗杰 |
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Description: 用于检测视频中的特定目标，并保持动态跟踪，跟踪效果较好，算法复杂度较低。(It is used to detect the specific target in video, and keep dynamic tracking. The tracking effect is good, and the algorithm complexity is low.) Platform: |
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Author:smile2816
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Description: 滑模变结构控制本质上是一类特殊的非线性控制，其非线性表现为控制的不连续性，这种控制策略与其它控制的不同之处在于系统的“结构”并不固定，而是可以在动态过程中根据系统当前的状态(如偏差及其各阶导数等)有目的地不断变化，迫使系统按照预定“滑动模态”的状态轨迹运动。由于滑动模态可以进行设计且与对象参数及扰动无关，这就使得变结构控制具有快速响应、对参数变化及扰动不灵敏、无需系统在线辩识， 物理实现简单等优点。(In essence, sliding mode variable structure control is a special kind of nonlinear control, whose nonlinear performance is the discontinuity of control. The difference between this control strategy and other controls is that the "structure" of the system is not fixed, but it can change purposefully in the dynamic process according to the current state of the system (such as deviation and its derivatives of each order, etc.), forcing the system to "slide" according to the preset State track motion of "dynamic mode".) Platform: |
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Author:lvdezhen |
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Search - matlab motion track