clustering image segments in opencv

Question

I am working on motion detection with non-static camera using opencv. I am using a pretty basic background subtraction and thresholding approach to get a broad sense of all that

Answer 1

I am not entirely sure if you are really looking for clustering (in the Data Mining sense).

Clustering is used to group similar objects according to a distance function. In your case the distance function would only use the spatial qualities. Besides, in k-means clustering you have to specify a k, that you probably don't know beforehand.

It seems to me you just want to merge all rectangles whose borders are closer together than some predetermined threshold. So as a first idea try to merge all rectangles that are touching or that are closer together than half a players height.

You probably want to include a size check to minimize the risk of merging two players into one.

Edit: If you really want to use a clustering algorithm use one that estimates the number of clusters for you.