title: Identifying moving objects using optical flow
body: <p>I am trying to isolate moving objects from a moving camera so that I can later apply some further processing algorithms to them, but I seem to have become a little stuck.  </p>
  
  <p>So far I am working with OpenCV and getting sparse optical flow from PyrLKOpticalFlow.  The general idea that I was working from was finding the features that were moving differently from the background points in the image, then finding clusters of these differently-moving features to be counted as moving objects for further tracking/processing.  My problem is that while I have found a few academic papers that used a strategy like this, thus far I haven't been able to find a simple way to accomplish it for myself.</p>
  
  <p>What would be a good method for using this optical flow data to detect moving objects from a moving camera?  Is this even the best approach to be taking, or is there some simpler approach that I may be overlooking?</p>