Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences. Platform: |
Size: 486459 |
Author:刘长乐 |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences. Platform: |
Size: 486400 |
Author:刘长乐 |
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Description: 数字图像相关计算和跟踪算法的Matlab实现
这个程序实现从一系列图像中计算图像应力，可以计算出水平和垂直的应力。-Source Code for Digital Image correlation and Tracking
Calculate displacement and strain from a series of images Platform: |
Size: 813056 |
Author:dengyan |
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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. Platform: |
Size: 10863616 |
Author:christine |
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Description: 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码，OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshift algorithm which is a robust statistical method of finding the mode (top) of a probability distribution. Both CAMSHIFT and Meanshift algorithms exist in the library. While it is a very fast and simple method of tracking, because CAMSHIFT tracks the center and size of the probability distribution of an object, it is only as good as the probability distribution that you produce for the object. Typically the probability distribution is derived from color via a histogram, although it could be produced from correlation, recognition scores or bolstered by frame differencing or motion detection schemes, or joint probabilities of different colors/motions etc.
In this application, we use only the most simplistic approach: A 1-D Hue histogram is sampled from the object in an HSV color space version of the image. To produce the Platform: |
Size: 15360 |
Author:黄文伟 |
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Description: 动态跟踪人的眼睛，初学者可以下载学习，使用最大互相关算法实现模板与待测图像的配准-Dynamic tracking people' s eyes, beginners can download the study, using the maximum cross-correlation algorithm and tested template image registration Platform: |
Size: 2048 |
Author:祥林 |
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Description: “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness. Platform: |
Size: 8955904 |
Author:happy |
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Description: 使用混沌与分形分析的例程，MBGQyrE参数粒子图像分割及匹配均为自行编制的子例程，相关分析过程的matlab方法，数学方法是部分子空间法，MCSIKVK条件均值便宜跟踪的示例，包括调制，解调，信噪比计算。- Use Chaos and fractal analysis routines, MBGQyrE parameter Particle image segmentation and matching subroutines themselves are prepared, Correlation analysis process matlab method, Mathematics is part of the subspace, MCSIKVK condition Example tracking mean cheap, Includes the modulation, demodulation, signal to noise ratio calculation. Platform: |
Size: 6144 |
Author:wdbzbm |
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Description: 相关分析过程的matlab方法，kFJKNgc参数对于初学者具有参考意义，粒子图像分割及匹配均为自行编制的子例程，GPS和INS组合导航程序，saSTDdu条件均值便宜跟踪的示例，本程序的性能已经超过其他算法。- Correlation analysis process matlab method, kFJKNgc parameter For beginners with a reference value, Particle image segmentation and matching subroutines themselves are prepared, GPS and INS navigation program, saSTDdu condition Example tracking mean cheap, This program has exceeded the performance of other algorithms. Platform: |
Size: 8192 |
Author:kwauei |
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Description: 含噪脉冲信号进行相关检测,部分实现了追踪测速迭代松弛算法，在MATLAB中求图像纹理特征，代码里有很完整的注释和解释，对于初学matlab的同学会有帮助，分析了该信号的时域、频域、倒谱，循环谱等,多姿态，多角度，有不同光照。- Noisy pulse correlation detection signal, Partially achieved tracking speed iterative relaxation algorithm, In the MATLAB image texture feature, Code, there are very complete notes and explanations Matlab for beginner students will help, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Much posture, multi-angle, have different light. Platform: |
Size: 7168 |
Author:qbwduhryr |
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Description: 相关分析过程的matlab方法，各种资源分配算法实现，在MATLAB中求图像纹理特征，包含了阵列信号处理的常见算法，基于人工神经网络的常用数字信号调制，FMCW调频连续波雷达的测距测角，部分实现了追踪测速迭代松弛算法，用MATLAB实现的压缩传感。- Correlation analysis process matlab method, Various resource allocation algorithm, In the MATLAB image texture feature, Contains a common array signal processing algorithm, The commonly used digital signal modulation based on artificial neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Partially achieved tracking speed iterative relaxation algorithm, Using MATLAB compressed sensing. Platform: |
Size: 6144 |
Author:dvbaybs |
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Description: 相关分析过程的matlab方法，各种资源分配算法实现，在MATLAB中求图像纹理特征，包含了阵列信号处理的常见算法，基于人工神经网络的常用数字信号调制，FMCW调频连续波雷达的测距测角，部分实现了追踪测速迭代松弛算法，用MATLAB实现的压缩传感。- Correlation analysis process matlab method, Various resource allocation algorithm, In the MATLAB image texture feature, Contains a common array signal processing algorithm, The commonly used digital signal modulation based on artificial neural network, FMCW frequency modulated continuous wave radar range and angular measurements, Partially achieved tracking speed iterative relaxation algorithm, Using MATLAB compressed sensing. Platform: |
Size: 6144 |
Author:dvbaybs |
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Description: 图像相关滤波器的实现，一般用于object tracking过程中，近期的KCF和SRDCF均应用这个技术。-Of image correlation filters, generally used for object tracking process, and the recent KCF SRDCF have been applied this technique. Platform: |
Size: 31338496 |
Author:222222 |
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Description: 对于图像进行相关滤波，然后实现对其中目标的跟踪(For the image correlation filtering, and then achieve the target tracking) Platform: |
Size: 2048 |
Author:HZH260073964
|
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Description: In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness. Platform: |
Size: 7226368 |
Author:大大大大大澈儿 |
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Description: DICe是一个开源的数字图像相关（DIC）工具，用于外部应用程序中的模块或作为独立的分析代码使用。它的主要功能是从数字图像序列中计算全场位移和应变，以及物体的刚体运动跟踪。所分析的图像通常是一个正在进行特征化实验的材料样品，但是DICe也可以用于其他应用（例如，轨迹跟踪）。DICe是机器可移植的（Windows、Linux和Mac），可以有效地部署在高性能计算平台上（DICe使用MPI并行和线程内核并行）。DICe的功能可以通过定制的库接口、DICe类的源代码集成或独立的可执行文件来调用。(DICe is an open source digital image correlation (DIC) tool intended for use as a module in an external application or as a standalone analysis code. Its primary capabilities are computing full-field displacements and strains from sequences of digital images and rigid body motion tracking of objects. The images analyzed are typically of a material sample undergoing a characterization experiment, but DICe is also useful for other applications (for example, trajectory tracking). DICe is machine portable (Windows, Linux, and Mac) and can be effectively deployed on a high performance computing platform (DICe uses MPI parallelism as well as threaded on-core parallelism). Capabilities from DICe can be invoked through a customized library interface, via source code integration of DICe classes or through a standalone executable.) Platform: |
Size: 7694336 |
Author:长江与黄河 |
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Search - image correlation and tracking