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It is difficult to say why you are not getting are not getting a "match" of your template (marker) in your image without knowing more about what your feature matching strategy, how are you matching features? How are you extracting ORB key points in the template image, are you also performing multi scale key point detection there?
To better debug your problem, you should first draw the detected key points (scaled to the correct octave). If you are not detecting the key points at equivalent locations in both the template and the target image, of course you will not be able to get meaningful match results. Also, 9 octaves a bit excessive, as the image is only ~0.4% of its original size at the 9th octave. At that size there likely isn't much meaningful information left in the image. Remember that in perspective projection an object's size is inversely related to its distance to the camera. In this non linear relationship, an object's size in the image constantly decreases as it moves away from the camera, but the rate of change decreases the further away from the camera the object is located. Likely 3 or 4 octaves will be enough for your purposes.
