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Questions tagged [mean-shift]

At the high level, we can specify Mean Shift as follows :

  1. Fix a window around each data point.
  2. Compute the mean of data within the window.
  3. Shift the window to the mean and repeat till convergence.

Read THIS LINK for more

54 questions
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How to detect multiple objects with OpenCV in C++?

I got inspiration from this answer here, which is a Python implementation, but I need C++, that answer works very well, I got the thought is that: detectAndCompute to get keypoints, use kmeans to segment them to clusters, then for each cluster do…
Suge
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How to choose appropriate quantile value while estimating bandwidth in MeanShift module of python?

I am performing mean shift clustering on a dataset. estimate_bandwidth function estimates the appropriate bandwidth to perform mean-shift clustering. Syntax: sklearn.cluster.estimate_bandwidth(X, quantile=0.3, n_samples=None, random_state=0) I…
gruangly
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Meanshift algorithm for tracking objects issue computing centroid update of search window

I have been trying to implement the meanshift algorithm for tracking objects, and have gone through the concepts involved. As per now I have managed to successfully generate a backprojected stream from my camera with a single channel hue roi…
Ragesam
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Scikit mean shift algorithm returns black picture

I am trying to perform image segmentation using scikit mean shift algorithm. I use opencv to display the segmented image. My problem is the following: I use the code as given in different examples, and when I display the image after segmentation, I…
BrianT
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Difference between meanShiftFiltering and meanShiftSegmentation in OpenCV

Could somebody please explain me the difference between gpu::meanshiftFiltering and gpu::meanShiftSegmentation? The documentation doesn't really help. Maybe it's a different question, but my goal is to extract the objects' boundaries, if somebody…
davitomi
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How to find clusters in image using mean shift in python opencv?

I tried finding the OpenCV method for mean shift, but nothing came up. I am looking for a way to find clusters in an image and replace them by their mean value using python OpenCV. Any leads would be appreciated. For example: Input: Output:
Hissaan Ali
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How do I implement mean shift by using a grid of centroids?

This is for a class and I would really appreciate your help! I made some changes based on a comment I received, but now I get another error.. I need to modify an existing function that implements the mean-shift algorithm, but instead of initializing…
pynewbie
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Different bandwidth specification in mean-shift clustering with different packages in R

I want to perform mean-shift clustering in R and found out that there are at least two packages that have this functionality: MeanShift and meanShiftR. As showed here the latter is much faster and as I tried out the first one and it took a long time…
jakes
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Why is MEAN SHIFT + ORB not detecting (all) multiple objects?

I have to find multiple objects of one type in an image and for this purpose, I am using OpenCV (Python). First I started with Template matching which doesn't work well if the orientation of the image is changed. So, I used the method described…
Rao208
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Tracking Multiple Objects Using Opencv Python

I'm trying to build a python program to count the number of people crossing the road in 2 directions. The video file is something like this Now for the detection phase I'm using BackgroundSubtractorMOG() to detect the peoples , now the problem is I…
Arijit
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Density Based Clustering with Representatives

I'm looking for a method to perform density based clustering. The resulting clusters should have a representative unlike DBSCAN. Mean-Shift seems to fit those needs but doesn't scale enough for my needs. I have looked into some subspace clustering…
Milan
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OpenCV - Meanshift clustering

Is there a meanshift clustering implementation in OpenCV? If so, is there any documentation about how I can do it?
deniz
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OpenCV Meanshift Tracking HSV

I was wondering why in OpenCV examples when it comes to meanshift tracking, only Hue channel is used. In https://docs.opencv.org/4.x/d7/d00/tutorial_meanshift.html such line of code implies what I wrote: roi_hist =…
Filip
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object segmentation using mean shift

i have this image: I am interested to do segmentation only in the objects that appear in the image so i did something like this import numpy as np import cv2 from sklearn.cluster import MeanShift, estimate_bandwidth #from skimage.color import…
Bahy
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How to order mean shift cluster labels in ascending order using sklearn.cluster.MeanShift?

I am trying to perform MeanShift clustering on a list of numbers like this: list = [4, 55, 8, 9, 12, 11, 11, 813, 832, 774, 781, 5, 769, 22] X = np.reshape(list, (-1, 1)) ms = MeanShift(bandwidth = 30, bin_seeding = True) ms.fit(X) labels =…
Eric
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