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Meanshift tracking based on visal

Meanshift by Comaniciu first put forward, is an algorithm for tracking non-rigid objects. In order to characterize the target, you first need to select a feature space. Reference objects, represented by the probability density function of q in the feature space, such as reference models you can choo...
  Matlab        Matlab     

MeanShift algorithm Matlab program

Algorithm Matlab program MeanShift, which contains a collection of test images, the code includes comments, MeanShift algorithm is described in great detail the process: initialization, weight calculations, PAP distance calculation, and update the target location in real time, learning is easy...
  Matlab        Matlab     

K-Means algorithms MapReduce

public class KMeansMapper extends MapReduceBase implements Mapper<LongWritable, Text, IntWritable, DoubleArrayWritable> { // one coodinate(data) private List<DoubleWritable> coordinate = new ArrayList<DoubleWritable>(); private BasicKMeansTool basicKMeans = new BasicKMeans...
  Algorithm        Java     

K-Means cluster

K-Means cluster Using c++ to realize, we will study together the Exchange. Step 1. N data objects arbitrarily choose k objects as the initial cluster centers; Step 2. Loop Step 3 to Step 4 until each cluster is no longer changes; Step 3. Under each cluster...
  Image Processing        C++     

KMeans cluster

This is a project in natural language process, it is one of  classic  clustering algorithms in data mining,the algorithms based on  distance,First choose k objects from n arbitrary data objects as the initial clustering center; for the left objects, according to  th...
  Java Development        Java     

CrossTheMaze

Assume that Edison has found himself in a square-shaped maze of NxN square cells which is surrounded by walls from the outside. In the maze, some of the cells are also walls. Edison can only move between two empty cells in four directions, north, south, west and east. In order to get out of the maze...
  Windows        C++     

MeanShift_Code

It is the improvement of MeanShift algorithm, called a continuous Adaptive MeanShift algorithm, CamShift algorithm is the full name of "Continuously Adaptive Mean-SHIFT", which is the basic idea of all frames of a video image for MeanShift operations and results of the previous frame (the Center and...
  Matlab        Matlab     

Fuzzy c-Means image segmentation

Classic color on BGR space of Fuzzy c-Means image segmentation of images by Note: VS platform, you need to configure openCV Source image: The result image (specify color segmentation k=3)...
  Image Processing        C++     

image segmentation based of Mean-shift

This program of the texture image analysis (very bad due to the total effect of matrix methods, this procedure using texture analysis based on frequency domain algorithm) based on the get the image texture features in different regions for these texture, using clustering (K-Mean) regional division o...
  Matlab        Matlab     

Written in MATLAB KMeanS clustering procedures

The code to use the RAND function to generate 150 1 to 5 , used the kMeans algorithm for classification; S Tep1 Select k -initial Center BN=round (n/k*RAND);% before the first random number in 1/K area NC=[x (BN,:), x (2*BN,:), x (3*bn,:), x (4*bn,:)];% initial cluster centers...
  Matlab        Matlab     

Mahout Canopy&KMeans clustering

Mahout clustering example Canopy&KMeans code Describes using the Mahout Canopy&KMeans of rapid cluster analysis, simple and direct hands-on Directly on the code...
  Algorithm        Java     

k_Means-segmentation

Using MATLAB to realize k-Means image segmentation algorithm,k-Means algorithm accepts input k; and n data objects into k clusters in order to make the access to the cluster meet: similarity of objects higher in the same cluster and less similarity between different objects in the cluster. Clusteri...
  Algorithm        Matlab     

Remove Noise of the kMeans algorithm, Java implementation

Nothing says, directly on the source code...
  数据挖掘算法        Java     

kMeans clustering algorithm

This projects describes simple demo of kMeans clustering algo in python with graph and table generated for the input...
  process        Python     

NLMeans GoossensLNLA2008 demo code

This source code is based on the improvement of non-local Means Denoise algorithm for graphics, better than traditional methods...
  Image Processing        Matlab     

KMeans algorithm

harris Corner detection source code, simple and efficient, easy to understand, you can effectively detect the image corners, and provided a circular procedure, to ring out of a corner point on the image. Use the format [CNT,posr,POSC] = get_Harris(IMG,k,t), IMG needs to detect the images, k,t respec...
  Algorithm        Matlab     

Image correspondences using Cross-Correlation

Finding corresponding features in a pair of images is the basis of many optic flow, stereo vision and image registration algorithms. One straightforward approach to finding a match is to take a small patch of one image, compute its sliding Cross-Correlation with the other image, and find a peak. Thi...
  Matlab        Matlab     

Cross-Correlation find delay

Cross-Correlation algorithm for TDE, recovered by MATLAB simulation of time delay estimation and accurate simulation....
  Matlab        Matlab     

Meanshift vehicle detection

Moving vehicle detection and tracking of vehicle based on MATLAB real time well-car detectcar detectcar detect...
  Matlab        Matlab     

KMeans data clustering algorithm

Its a code for clustering  a group of unsupervised data into clusters... limited to only 3 clusters but i am working on it for multi-dimensional array...
  Matlab        Matlab     

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