Description: 基于均值漂移理论的该进算法，能对有一定遮挡的目标实现跟踪，可能对学习跟踪的出学者有一定帮助-Based on the theory of mean-shift into the algorithm, can have a certain block to achieve the objective of tracking and tracking of learning may be a scholar has a certain extent, help Platform: |
Size: 209920 |
Author:张浩天 |
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Description: 学习meanshift跟踪算法的好程序，值得搞图像序列目标跟踪的人研究-Meanshift tracking algorithm to learn a good process, it is worth engaging in image sequences target tracking studies Platform: |
Size: 128000 |
Author:fjun |
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Description: 均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心-Mean shift tracking algorithm in the kernel function automatically selects the window wide code, depending on the target size of changes in the nuclear window width, making small changes occur when the target accurately track to the target when the center Platform: |
Size: 9216 |
Author:李健 |
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Description: 这是基于mean-shift运动目标跟踪的matlab仿真的程序，含有三个M文件-This is based on the mean-shift moving target tracking matlab simulation program, containing three M documents Platform: |
Size: 3072 |
Author:还非子 |
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Description: 关于mean shift算法在目标跟踪方面的应用，讲述了mean shift算法的基本原理，和跟踪方法-On the mean shift algorithm in the application of target tracking, mean shift algorithm describes the basic principles, and the tracking method Platform: |
Size: 920576 |
Author:Andy |
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Description: mean shift 算法用于目标跟踪,其中有4个文件.-mean shift algorithm for target tracking, including four documents. Platform: |
Size: 3072 |
Author:李超 |
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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 . Platform: |
Size: 2779136 |
Author: |
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Description: 提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and positioning method to track non-rigid body' s core technology. Standardizing the use of homogeneous space mask the characteristics of histogram based on the objectives that the mask is suitable for the introduction of gradient optimization is similar to spatial smoothing function, Therefore, targeting the problem can be converted to solve the problem of local maxima. We poured from the rules of Bhattacharyya coefficient as similarity measure, using mean shift procedure for solving optimization. give the test cases in, the method succeeded in solving the camera Mobile, shadows, and other image noise. article on the campaign filtering and data association techniques of integration were also discussed. Platform: |
Size: 2700288 |
Author:maolei |
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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. Platform: |
Size: 2459648 |
Author:Ali |
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Description: "Bayesian Mean Shift Face Tracker"
This is a paper about tracking by particle filter.
This is very useful. Platform: |
Size: 499712 |
Author:Wolf |
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Description: ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
Bayesian Filter. Bayesian (Bayesi
a target tracking system MATLAB s
cubic spline curve fitting This i
book is widely used in engineerin
this study is extended Kalman Fil
particle filter algorithm code, t
use AR model for time series pred
principal component analysis algo
HMM, C language, it is important
spectrum analysis techniques to s
digital watermarking technology p
mean-shift method for the example
chaotic sequence of phase space r
Serializing objects using CArchiv
C compile some of the most optimi
The source code of FFT,is a good
Mailto US | Studio | Copyright Complaints Platform: |
Size: 712704 |
Author:wibisono |
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Description: 基于OpenCV实现的图像特征区域跟踪程序，基于类Mean-Shift实现的颜色直方图概率匹配算法，可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a specific target area 6. Platform: |
Size: 2283520 |
Author:gbcgbc |
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Description: 均值便宜跟踪的示例程序，可以帮助大家了解均值偏移的过程。-Mean shift track sample program that can help us understand the process mean shift. Platform: |
Size: 2745344 |
Author:木军阳 |
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Description: 在matlab中实现mean shift的目标跟踪，对于初学者具有很好的参考意义。-Mean shift in matlab to achieve the target track, is a good reference for beginners significance. Platform: |
Size: 2745344 |
Author:刘景满 |
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Search - tracking mean shift