搜索资源列表
mean shift
- meanshift基于MATLAB的运动目标跟踪
meanshift
- 实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片-To achieve mean-shift based image retrieval, to realize the similarity of two images, the selection of the most similar image
ClusterBasics-V1.0
- 各类聚类算法程序包，包含各种经典的聚类算法，例如：k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
LMS
- 采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is t
testnlm
- non local mean 去噪方法，该方法在空间域中对图像进行降噪。-non local mean denoising code
kmeansClusters
- Image segmentation k mean clustering
color_texture
- 在用Mean-shift进行跟踪中，采用颜色与纹理相结合的特征空间-Mean-Shift using features of color combined with texture.
IJPRAI_demo_software
- 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The
meanshift
- 对于初学者学习matlab很有帮助，尤其在图像处理方面更是很好的啊。-For beginners learn matlab ® helpful, especially in the image processing is very good.
mean
- mean-shift algorithm matlab code
meanShiftExample
- 改进的均值偏移跟踪算法，带有示例视频，可完成对选定目标的实时跟踪-Improved mean shift tracking algorithm, with a sample video, to be completed by the real-time tracking of selected targets
motion4
- 基于CamShift的目标跟踪算法，先求图像的HSV分量，提取H分量，做灰度直方图，对灰度直方图进行投影，最后均值移动进行跟踪。-Target tracking algorithm based on CamShift, first find the image of the HSV components to extract H component, do histogram of the projection histogram, the last mean shift tracking.
particle-filter-visual-tracking
- 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。现在把它们奉献给大家！-These codes are us
mean-shifit
- mean shift目标跟踪matlab程序，其中包括五个文件-mean shift
two-classic-mean-shift
- matlab环境下的两种经典meanshift算法的程序-two classic meanshift algorithms are programed in matlab
mean-shift-tracking
- 用于目标跟踪，卡尔曼算法mean shfit tracking ，MATLAB编程资料，-For target tracking, Kalman algorithm mean shfit tracking, MATLAB programming information,
matlab
- 基于mean-shift算法的动目标跟踪，可以识别目标，并记录动目标的跟踪轨迹，并在窗口显示-Based on mean-shift algorithm of moving target tracking, you can identify the target, moving target tracking and recording tracks，and displayed in the window
test
- 对图像中的人脸进行识别，然后进行跟踪，可以运行，代码里的视频可以替换，均值漂移(The face in the image is identified, then tracked, running, the video in the code can be replaced, the mean shift.)