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Description: 本程序源码利用kalman控制摄像头的旋转，开发工具是VC-use of this procedure source Tracking control of the camera rotation, development tools is VC
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Author: guo |
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Description: 这是用VC++编写的kalman 滤波的方法对摄像头进行控制的程序！-This is the VC Kalman filtering prepared by the methods of camera control procedures!
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Author: image |
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Description: 本程序源码利用kalman控制摄像头的旋转，开发工具是VC-use of this procedure source Tracking control of the camera rotation, development tools is VC
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Size: 306176 |
Author: guo |
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Description: 这是用VC++编写的kalman 滤波的方法对摄像头进行控制的程序！-This is the VC Kalman filtering prepared by the methods of camera control procedures!
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Size: 307200 |
Author: image |
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Description: target tracking using kalman
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Author: Lin |
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Description: 本文提出了一种静止摄像机条件下的运动目标检测与跟踪算法。 它以一种改进的自适应
混合高斯模型为背景更新方法，用连通区检测算法分割出前景目标，以 Kalman滤波为运动模型实现对运动目标的连续跟踪。在目标跟踪时，该算法针对目标遮挡引起的各种可能情况.-In this paper, a stationary camera under the conditions of the moving target detection and tracking algorithm. It is an improved adaptive mixed-Gaussian model for the background update method, connected areas of the prospect of partition detection algorithm targets to Kalman filtering model for the movement to realize the continuous tracking of moving targets. In target tracking, the algorithm for the target occlusion caused by a variety of possible scenarios.
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Author: Jenifer |
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Description: 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 kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking .
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Description: kalman滤波算法在图像中的应用，这个源码是二维点跟踪算法，是基于opencv，该源码对于学习摄像机坐标标定的人很有参考价值，会让你跟好的去了解kalman算法的应用于实现-kalman filtering algorithm at the application of images, this are two-dimensional point-source tracking algorithm is based on the opencv, the source for the calibration of camera coordinate Learn valuable person, would you go with the best know application of kalman algorithm to achieve
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Author: sunup |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2459648 |
Author: Ali |
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Description: kalman来控制摄像头的运动，比较容易看懂的算法-kalman filter is used to control the camera
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Author: pengqinmu |
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Description: TrackIT是一款开放式的机器视觉开发平台，目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件，并在不断添加更新中，采用开源OpenCV、WxWidgets、CMU139等标准工具，使用XML动态解析界面，所有参数在界面上直接调整，同时可立即看到调整效果，并可动态加载组件，可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。-TrackIT is an open development platform for machine vision, now integrated input from a camera, color conversion, color image processing, gray-scale image processing, binary image processing, threshold segmentation, edge detection, Blob detection, camera calibration, Kalman filter, optical flow tracker, nearest neighbor tracking, mathematical morphology, machine learning algorithms nearly 100 components, and continually add updates, using open source OpenCV, WxWidgets, CMU139 and other standard tools, using XML dynamically analysis interface, all parameters in the interface directly on the adjustment, while adjustments immediately see results, and can dynamically load the components, can be used for general scientific research and machine vision system development. Run-time needs. Net framework support.
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Author: 黄设 |
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Description: 实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align
partial 3D reconstructions of the seabed acquired by a stereo
camera mounted on an autonomous underwater vehicle. Vehicle
localization and seabed mapping is performed simultaneously
by means of an Extended Kalman Filter. Passive landmarks
are detected on the images and characterized considering 2D
and 3D features. Landmarks are re-observed while the robot
is navigating and data association becomes easier but robust.
Once the survey is completed, vehicle trajectory is smoothed by
a Rauch-Tung-Striebel filter obtaining an even better alignment
of the 3D views and yet a large-scale acquisition of the seabed.
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Author: Li Yanli |
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Description: 几个项目运用了opencv，需先安装opencv
项目readpic从磁盘中读入图像文件，并将图像显示在屏幕上
项目cpic本程序显示如何用C++类来创建和显示图像，这个C++类在 cxcore.hpp 中定义，与 矩阵类(CvMatrix) 相似。
项目carmen是使用opencv卡尔曼滤波的例子。
项目ransac是ransac算法的例子。
toolbox_calib是加州理工经典相机标定包。-Several projects using the opencv, opencv projects need to be installed readpic read from the disk image file and the image displayed on the screen item cpic this program shows how to use C++ class to create and display images, the C++ class cxcore.hpp defined, and the matrix class (CvMatrix) similar. Carmen project is to use opencv Kalman filter example. Project ransac is ransac algorithm example. California Institute of Technology toolbox_calib classic camera calibration package.
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Author: lyd |
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Description: 在matlab下可以运行的kalman。对视频图像序列使用卡尔曼滤波器生成背景。卡尔曼滤波是利用其的记忆特性，对一定时间长度的视频图像信息进行加权平均从而获得与实际背景图像近似的初始背景，同时达到滤除颗粒噪声、消除摄像机抖动的目的 -You can run matlab under the kalman. Of video sequences using a Kalman filter to generate the background. Kalman filtering is the use of its memory characteristics of a certain length of time the video image information and the actual weighted average to obtain the initial background image similar to the background noise while to filter out particles, the purpose of eliminating the camera shake
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Author: 孙宁 |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion.
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Author: linuszhao |
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Description: 目前很多自动拍照系统可以自动检测人脸（或者其他部位），并给人脸上添加一些装饰产生比较有趣的场景，本程序在opencv的人脸检测基础上，添加kalman filter实现人脸的自动跟踪，在人脸的鼻子处添加一个猪鼻子，造成一种比较cute的场景。
资源包括可以直接运行的exe文件和相应的代码。
希望给大家一个参考-A lot of automatic camera system can automatically detect the face (or other parts), and gives a face to add some decoration to produce more interesting scenes, this program in opencv face detection on the basis of achieve automatic face tracking, add the kalman filteradd a pig nose, in the face of the nose, causing a cute scene.
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Author: 刘宋 |
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Description: 对视频图像序列使用卡尔曼滤波器生成背景。卡尔曼滤波是运用其的记忆特性，对一定时间长度的视频图像信信息进行加权平均从而获的与实际背景图像近似的初始背景，同时达到滤除颗粒噪声、消除摄像机抖动的目的。
-The sequence of video images using the Kalman filter to generate the background. The Kalman filter is to use its memory characteristics, the weighted average in order to be the initial approximation to the actual background image background information on the video image signal of a certain length of time, and filter out the grain noise, the purpose of eliminating camera shake.
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Author: tb |
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Description: A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2439168 |
Author: Felix |
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Description: 卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。-Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for linear systems in general. Usually in the field of motion tracking camera motion with respect to the target object may belong to nonlinear systems, but in general due to motion tracking problems shorter image acquisition time interval, a unit of time can be approximated to the target motion in the image is regarded as uniform motion, Kalman filter can achieve the target motion parameter estimation.
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Author: anly |
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Description: 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在搭建的八旋翼无人机平台上试验, 将位置与速度测量结果分别与激光和PX4FLOW数据对比, 结果表明该导航方法可以有效抑制定位跳变与光流测量噪声误差, 给出精确的位置与速度估计.
-Problems for the Navigation satellite navigation signals in the absence of conditions, and in conjunction with optical flow landmark UAV design indoor navigation positioning method using the camera, inertial measurement device, an ultrasonic range finder sensor fusion article using the compensation angle computing optical flow rate of the inter-pixel differentiation small displacements, and extracted with high precision before and after the point of error algorithm, to avoid the tracking error pixel, improve the accuracy of optical flow speed optical flow field obtained for the mean shift algorithm optimization, the histogram peak optical flow, in order to calculate the optical flow velocity. in this paper, the landmark location algorithm continuously accumulated error is measured in real time the position of the UAV by multirate Kalman filter observation period inconsistent positions , optimal estimation speed information. tested on eight rotor UAV platform structures, the position a
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Author: lou tayzan |
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