Description: mean-shift算法的实现算例，通过看这段代码，可以很快熟悉mean-shift算法-mean-shift method for the example, look at this code can be quickly familiar with the mean-shift algorithm Platform: |
Size: 79149 |
Author:胖丫 |
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Description: 粒子滤波算法讲述粒子滤波过程。基于Mean Shift算法和粒子滤波器的人眼跟踪,多谢支持。-particle filter on particle filtering process. Based on the Mean Shift Algorithm and the particle filter eye tracking, Thank you for your support. Platform: |
Size: 167375 |
Author:wu78zg |
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Description: mean-shift算法的实现算例，通过看这段代码，可以很快熟悉mean-shift算法-mean-shift method for the example, look at this code can be quickly familiar with the mean-shift algorithm Platform: |
Size: 78848 |
Author:胖丫 |
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Description: 粒子滤波算法讲述粒子滤波过程。基于Mean Shift算法和粒子滤波器的人眼跟踪,多谢支持。-particle filter on particle filtering process. Based on the Mean Shift Algorithm and the particle filter eye tracking, Thank you for your support. Platform: |
Size: 166912 |
Author:wu78zg |
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Description: A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate-A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c Platform: |
Size: 17408 |
Author:gggg |
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Description: EM算法＋mean shift算法用于图像分割，同时有demo程序用来看最终的分割结果-EM algorithm mean shift algorithm for image segmentation, at the same time have demo program with the ultimate view of segmentation results Platform: |
Size: 6144 |
Author:周华 |
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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: 对Mean shift算法进行介绍，并对其应用领域进行阐述，是难得的外文论文-Mean shift algorithm to introduce and elaborate on its applications, is a rare foreign-language papers Platform: |
Size: 1090560 |
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: mean shift 目标跟踪，用于跟踪视频目标，本人修改了部分程序。均值转移算法、均值转移代码、Mean-Shift，用于视觉目标跟踪、视频监控、主动视觉等领域，还可以用于图像分割/图像聚类/聚类分割。-mean shift algorithm is used to track visual object. Applied in visual object tracking, visual tracking, visual surveillance and active vision. Platform: |
Size: 5120 |
Author:朱亮亮 |
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Description: 这是一篇介绍mean-shift改进算法的资料，它可以解决目标逐渐变大的问题，可以改变窗形的大小-This is a description of the mean-shift algorithm to improve the information, it can solve the goal of gradually become a big problem, you can change the shape of the size of the window Platform: |
Size: 566272 |
Author:杨雨 |
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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: 奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标
颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换
自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义 一种新的颜色模型，该模型统计落入每
一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目
标的颜色模型之间的相似程度．最后基于该颜色模型提出J，改进算法．实验表 ，基于该颜色模型的改进算法比经典的Mean
Shift算法具有更好的性能，向跟踪时间与经典算法大致相 ．-The traditional Mean Shift tracking algorithm partitions uniformly the whole color space，leading to a great
number of void histogram bins，and is unable to represent accurately the color distribution of the object．To address
the problems，we present an improved algorithm．Firstly the object color is analyzed using a clustering algorithm，and
according to the clustering result the color space of the object is partitioned into subspaces by matrix factorization and
orthonormal transformation．Then a new color model is defined by considering the weighted number of pixels as well as
within—cluster distribution with Gaussian ．and a novel measure iS derived to evaluate the similarity between the reference
color model and the candidate mode1．Finally an improved algorithm is proposed based on the color mode1．Experiments
show that the improved algorithm has better performance than and is computationally comparable to the conventional
mean shift algorithm． Platform: |
Size: 440320 |
Author:陈方芳 |
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