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Description: 目标跟踪的原程序， 只能处理bmp图片，利用的是帧差法-the original target tracking procedures, can only handle bmp images, the use of frame-error method
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Size: 380928 |
Author: wuyuan |
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Description: kalman滤波的源代码，主要用于运动跟踪时的目标预测，现在只有matlab的，-Kalman Filtering source code, mainly for tracking the target forecast Now only Matlab,
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Size: 122880 |
Author: lll |
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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)
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Size: 60416 |
Author: zhangyun |
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Description: /// 只有WinXp及以上及系统才支持SHOpenFolderAndSelectItems() API
/// 那其它系统该怎么实现这个功能呢？只能采用其它的方法来处理
/// 首先用XP跟踪到SHOpenFolderAndSelectItems()API中，看它是如何处理的，再用同样的方法去实现
/// 其它系统的这个功能使用工具 VC6 .net 2003 MSDN Ollydbg v1.10中文版-/// Only Winxp and above and system support SHOpenFolderAndSelectItems () API///that other systems how to realize this function? But to use other methods to deal with///First of all, to use XP tracking SHOpenFolderAndSelectItems () API, the look is how to deal with it, and re-use the same method to realize///other systems to use this feature tools VC6. Net 2003 Chinese version of MSDN Ollydbg v1.10
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Size: 14336 |
Author: 梁增健 |
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Description: 方向检测的粒子滤波程序，内含重采样算法。-The direction of the particle filter detection procedures, including re-sampling algorithm.
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Size: 34816 |
Author: 赵娜 |
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Description: 针对双基阵提供的有偏方位角量测信息,对双基阵纯方位目标可观测性的必要条件及其Cramer-Rao下限
进行了理论推导.在此基础上,采用一种新的辅助变量方法对双基阵纯方位跟踪性能进行改进,并在可观测条件下对
目标进行了蒙特卡洛仿真实验.实验结果表明,新的辅助变量方法可以使参数估计精度大大提高,并且上述理论对制
定实际的跟踪策略或算法具有一定的参考价值
-For double-base matrix provided biased information azimuth measurement of double-base bearings-only target array may be a necessary condition for observability and Cramer-Rao lower limit of the theoretical derivation. On this basis, a new auxiliary variable method of double-base bearings-only tracking array to improve performance and can be observed under the condition of targets Monte Carlo simulation. The experimental results show that the new auxiliary variable method can greatly improve the accuracy of parameter estimation and the formulation of the above-mentioned theory tracking the actual strategy or algorithm has certain reference value
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Size: 54272 |
Author: 顾东 |
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Description: Visual tracking is one of the key components for robots
to accomplish a given task in a dynamic environment,
especially when independently moving objects are included.
This paper proposes an extension of Adaptive
Visual Servoing (hereafter, AVS) for unknown moving
object tracking. The method utilizes binocular stereo
vision, but does not need the knowledge of camera parameters.
Only one assumption is that the system
need stationary references in the both images by which
the system can predict the motion of unknown moving
objects. The basic ideas how we extended the AVS
method such that it can track unknown moving objects
are given and formalized into a new AVS system. The
experimental results with proposed control architecture
are shown and a discussion is given.
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Size: 480256 |
Author: xjwu |
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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.
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Size: 208896 |
Author: 苏朗朗 |
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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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Size: 2779136 |
Author: |
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Description: Abstract—Stable direct and indirect decentralized adaptive radial basis
neural network controllers are presented for a class of interconnected
nonlinear systems. The feedback and adaptation mechanisms for each
subsystem depend only upon local measurements to provide asymptotic
tracking of a reference trajectory. Due to the functional approximation
capabilities of radial basis neural networks, the dynamics for each
subsystem are not required to be linear in a set of unknown coeffi cients
as is typically required in decentralized adaptive schemes. In addition,
each subsystem is able to adaptively compensate for disturbances and
interconnections with unknown bounds.
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Size: 151552 |
Author: centema |
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Description: 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
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Size: 150528 |
Author: 王军 |
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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: 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 of multipath signals ,chip spacing between correlators and type of discriminator used for tracking.
For the following analyses the influence of code multipath will be illustrated by means of multipath error envelopes.
In these diagrams, the resulting ranging errors are plotted as a function of geometric path delay .the computation of
multipath errors envelops is based on the assumption, that the direct signal component is always available and that only one
multipath signal is present-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 of multipath signals ,chip spacing between correlators and type of discriminator used for tracking.
For the following analyses the influence of code multipath will be illustrated by means of multipath error envelopes.
In these diagrams, the resulting ranging errors are plotted as a function of geometric path delay .the computation of
multipath errors envelops is based on the assumption, that the direct signal component is always available and that only one
multipath signal is present
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Size: 5120 |
Author: Rafal |
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Description: 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 develop the use of EKF (extended KALMAN Filter) algorithm combined with the PDA to locate target tracking
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Size: 9216 |
Author: chris |
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Description: 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 example, the speed and in the distance covered by the players during a departure, the region of bigger movement of the team in the field, etc. The considered system follows a probabilist boarding, reaching good initial results. The experiments had shown that an initial implementation of system, only using information of variation of the luminous intensity of the images, already presents resulted efficient and efficient and allows to glimpse significant improvements to be developed.
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Size: 409600 |
Author: Rodrigo |
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Description: EKF UKF Bearing Only Tracking
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Size: 50176 |
Author: Nikolay |
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Description: 计算机数字图像处理资料，阐述了数字图像处理的各方面知识以及最新进展-It is very important to achieve reliable vehicle
tracking in ITS application such as accident detec-
tion. But the most dicult problem associated with
vehicle tracking is the occlusion e ect among vehicles.
In order to resolve this problem we applied the dedi-
cated algorithm which we de ned as Spatio-Temporal
Markov Random Field model to trac images at an
intersection. Spatio-Temporal MRF considers texture
correlations between consecutive images as well as the
correlation among neighbors within a image. As a re-
sult, we were able to track vehicles at the intersection
robustly against occlusions. Vehicles appear in vari-
ous kinds of shapes and they move in random man-
ners at the intersection. Although occlusions occur in
such complicated manners, the algorithm were able to
segment and track such occluded vehicles at a high
success rate of 93− 96 . The algorithm requires only
gray scale images and does not assume any physical
models of vehicles.
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Size: 10863616 |
Author: christine |
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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.
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Size: 36511744 |
Author: gobsy |
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Description: 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 maximum sunlight automatically. This system is tracking for maximum intensity of light. When there is decrease in intensity of light , this system automatically changes its direction to get maximum intensity of light.
Here we are using two sensors in two directions to sense the direction of maximum intensity of light. The difference between the outputs of the sensors is given to the microcontroller unit.
Here we are using the microcontroller for tracking and generating power from sunlight. It will process the input voltage from the comparison circuit and control the direction in which the motor has to be rotated so that it will receive maximum intensity of light from the sun.-This is 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 maximum sunlight automatically. This system is tracking for maximum intensity of light. When there is decrease in intensity of light , this system automatically changes its direction to get maximum intensity of light.
Here we are using two sensors in two directions to sense the direction of maximum intensity of light. The difference between the outputs of the sensors is given to the microcontroller unit.
Here we are using the microcontroller for tracking and generating power from sunlight. It will process the input voltage from the comparison circuit and control the direction in which the motor has to be rotated so that it will receive maximum intensity of light from the sun.
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Size: 122880 |
Author: Binu |
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Description: 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
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Size: 785408 |
Author: zhaolingling |
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