I need to detect object that aren't that much complex: pokestops.
Some images of a pokestop:
Screenshot examples:
I have tried different approaches (template matching, homography and feature detection) but sadly I wasn't able to detect correctly a pokestop. Then I remembered that I was able to detect faces using a Haar cascade classifier but of course I already had the .xml file. So, having only few images of an object, would I be able to create a proper xml for Haar classifiers? Maybe there is a better approach to detect this object? Thank you.





