Description: Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + \"X Range\") pixels in the X direction and +-(10 + \"Y Range\") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient. Platform: |
Size: 363710 |
Author:欢欢 |
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Description: 这是一个SDK程序。本程序跟踪显示鼠标的坐标位置，同时，若有鼠标操作，可在窗口标题栏中显示操作信息，要是在窗口客户区中进行双击，就会在双击位置点上显示位置信息。此外，客户中还有两个位图，当鼠标移动到位图上时，就会改变为自己定义的光标。该程序适合Win32编程初学者，内含大量的中文注释。-This is a SDK procedure. This program tracking demonstrates the coordinates position of the mouse, at the same time, demonstrate the operation information in the window title block if the mouse has operation. if double-clicks in the window customer area ,can demonstrates the positional information of the double-click position. In addition, in the customer also has two units places charts, when the mouse moves arrives on the chart, can change the cursor which defines as oneself. This procedure suits the Win32 programming beginner, contains the massive Chinese annotation. Platform: |
Size: 10600 |
Author:梁志洪 |
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Description: 这是一个SDK程序。本程序跟踪显示鼠标的坐标位置，同时，若有鼠标操作，可在窗口标题栏中显示操作信息，要是在窗口客户区中进行双击，就会在双击位置点上显示位置信息。此外，客户中还有两个位图，当鼠标移动到位图上时，就会改变为自己定义的光标。该程序适合Win32编程初学者，内含大量的中文注释。-This is a SDK procedure. This program tracking demonstrates the coordinates position of the mouse, at the same time, demonstrate the operation information in the window title block if the mouse has operation. if double-clicks in the window customer area ,can demonstrates the positional information of the double-click position. In addition, in the customer also has two units places charts, when the mouse moves arrives on the chart, can change the cursor which defines as oneself. This procedure suits the Win32 programming beginner, contains the massive Chinese annotation. Platform: |
Size: 10240 |
Author:梁志洪 |
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Description: 该函数根据待待配准图象中的特征点位置在基准图象中寻找配准特征点，并将配准的特征点位置返回。在配准的过程中，采取的是块配准的方法进行配准-according to the functions assigned to the prospective image of the location of the benchmark for image registration feature, Registration will feature the return position. In the registration process, the registration block is the method for registration Platform: |
Size: 4096 |
Author:文永富 |
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Description: Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.-Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient. Platform: |
Size: 363520 |
Author:欢欢 |
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Description: 结合摄像头使用，用于手部位置跟踪，精准度非常高，另可以识别六种手势。其手位跟踪模块可作为手势识别软件的一个组成部分，内含非常详细的说明文档。编译该代码，需要 OpenCV 0.97 或更高版本的支持。在Windows下的编译顺序为cubicles工程、handvu工程，之后根据视频数据来源要求编译其他代码。建议使用 Visual Studio 2003 ，如果需要编译 DirectX 相关模块，则请安装 DirectX SDK 9.0 或更高版本。-Combination of camera to use for hand position tracking, accuracy is very high, and the other six kinds of gestures can be identified. Digital tracking of their hand gesture recognition module can be used as an integral part of software, including a very detailed documentation. Compile the code, the need for OpenCV 0.97 or later support. Compiler in Windows under the order of cubicles works, handvu works, after the source of video data in accordance with the requirements of other code compiler. Recommend the use of Visual Studio 2003, if you need to compile the relevant modules DirectX, install DirectX SDK 9.0 or later. Platform: |
Size: 1243136 |
Author:郭策 |
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Description: We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions. -We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions. Platform: |
Size: 176128 |
Author:阳关 |
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Description: 一个很好的基于经典粒子滤波和均值漂移的混合算法，在选定目标初始位置的情况下能很有效的跟踪目标-A good particle filter based on the classic mean-shift and the hybrid algorithm, the target initial position in selected cases can be very effective in tracking the target Platform: |
Size: 176128 |
Author:张浩天 |
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Description: 1、 假定有一目标沿水平方向运动，起始位置为(-2000米，500米)，运动速度为10米/秒，扫描周期 秒， , 米，采用蒙特卡洛方法对跟踪滤波器进行仿真分析，仿真次数为100次-1, it is assumed that the target has one movement along the horizontal direction, the starting position for the (-2000 meters, 500 meters), velocity of 10 m/s, scanning cycle of seconds, and rice, using the Monte Carlo method for simulation analysis of tracking filter The simulation frequency was 100 times Platform: |
Size: 124928 |
Author:刘思 |
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Description: 添加了一个新的状态栏，在状态栏上显示时间，扑捉鼠标的位置，进行跟踪鼠标。-Added a new status bar, in the status bar to show time,扑捉mouse position, mouse tracking. Platform: |
Size: 3730432 |
Author:小红 |
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Description: 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 laser range finder, a size of an unknown two-dimensional rectangular space Pose measurement algorithm. The algorithm does not need to know the G flat rectangular object vertex coordinates, they only need to know the image coordinates, image coordinates of laser points and the laser ranging results, we can calculate the size of the unknown space rectangular plane in the camera coordinate system bit posture, and to calculate the size of rectangular plane. Through the establishment of monocular hand-eye cameras and laser range finder of the mathematical model, the algorithm is verified. Experimental results show that the algorithm is effective, can be applied to the robot on the space object tracking, positioning, and crawling. Platform: |
Size: 208896 |
Author:苏朗朗 |
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Description: 当你的程序要控制鼠标时，是不是想找到他在哪个位置呢 ，本程序就是一个好的实例。鼠标位置追踪详细请见TrailMousePos.rar-When you mouse to control the process, it is not trying to find a position in which he does, the process is a good example. Mouse location tracking details, see TrailMousePos.rar Platform: |
Size: 25600 |
Author:顾先生 |
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Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely. Platform: |
Size: 1024 |
Author:崔瑞芳 |
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Description: This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by approximating the
boundary using the idea of feature point weighting. For object tracking
we take the contour to estimate its motion in the next frame by the
maximum likelihood method. The position of the object is estimated using
a probabilistic Hausdorff measurement while the shape variation is
modelled using a modified active contour model. The proposed method is
highly tolerant to occlusion. Because the tracking result is stable unless
an object is fully occluded during tracking, the proposed method can be
applied to various applications. Platform: |
Size: 2163712 |
Author:sacoura31 |
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Description: Tracking targets with radar is an important step in ensuring safety in such endeavors as air travel or military operations. To account for inherent inaccuracies in raw radar measurements of position, and to obtain accurate velocity data, we implemented an algorithm called the Kalman Filter. The resulting track data was used, in conjunction with algebraic and trigonometric methods, to simulate target interception and collision prevention. Our system led an interceptor aircraft to its target and warned pilots of a potential collision, proving the effectiveness of our filter. Platform: |
Size: 320512 |
Author:Nadir |
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Description: 统的联合概率数据关联算法(IPDA)是在密集杂波环境下的一种良好的多目标跟踪算法，
但它是针对单传感嚣对多目标跟踪的情况下使用，不能直接用于多传感器对多目标的跟踪。针对这
一问题，文中提出了一种适用于多传感器多目标跟踪的JPDA算法，它以极大似然估计完成对来自
多传感器的测量集合进行同源最优分划，然后采用JPDA方法对多目标进行跟踪。经过理论分析和
仿真试验，证明了该方法能有效地进行多传感器多目标的跟踪，且具有算法简单、跟踪精度高、附
加的计算量小等优点。-Abstract)m JointProbabilisticDataAssociation(JPDA)solves single sensormultitatgcttrackingin ClUtter,butitc锄not bc
used directly in mnitisensor multitarget tracking．喇8 paper presents a method to implement multi—sensor multi—target tracking
by combining maximum likelihood estimation wim JPDA The maximum Iikelihood estimation is used to classify the same
source observations at one time into the same set,and血en JPDA implements multi—target uacking after the position fitsed．The
theory analysis and computer simulation show that this algorithm may achieve multi—sensor multi—target tracking perfectly with
low calculation load added and higher precision 。 Platform: |
Size: 246784 |
Author:minnie |
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Description: 通过摄像头采集眼睛图像，实现瞳孔中心的定位于视线跟踪-Collected through the camera eye image, to achieve the pupil center position in the gaze tracking Platform: |
Size: 3246080 |
Author:ljh |
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Description: a real-time 3D pointing gesture
recognition algorithm for natural human-robot interaction
(HRI). The recognition errors in previous pointing gesture
recognition algorithms are mainly caused by the low performance
of the hands tracking module and by the unreliability
of the direction estimate itself, therefore our proposed algorithm
uses 3D particle filter for achieving reliability in hand
tracking and cascade hidden Markov model (HMM) for a
robust estimate for the pointing direction. When someone
enters the field of view of the camera, his or her face and
two hands are located and tracked using the particle filters.
The first stage HMM takes the hand position estimate and
maps it to a more accurate position by modeling the kinematic
characteristics of finger pointing. Platform: |
Size: 4096 |
Author:ALI |
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Description: In tracking applications target motion is usually best modeled
In a simple fashion using Cartesian coordinates. Unfortunately,
In most syste .... \be target position measurements are provided
In ter.... of range and azlmutb (bearing) witb respect to \be
sensor locatiolL This situation requires eilber converting the
measurements to a Cartesian frame of reference and working
directly on converted measurements or using an extended Kalman
mter (EKF) In mixed coordinates. An accurate means of tracking
with debiased consistent converted measurements is presented
which accurately accounts for the sensor inaccuracies over all
practical geometries and accuracies Platform: |
Size: 614400 |
Author:Gomaa Haroun |
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Search - position in tracking