Experiment 2: Moving boxes.

<p>Results for an input sequence with 5 boxes and the background all moving in different directions. A) Input image with arrows indicating the movement of the objects. The background is slowly moving to the left. B) Mean optic flow estimations in area MT_Model marked with a color code that is superimposed on the input image. In C) the detected occlusion (black) and disocclusion (white) regions are shown. Note that depending on the direction of the object movement these regions appear all along the object boundaries or just on two sides (for a movement in vertical or horizontal direction). D) Contours of the objects as provided by V2_Model Form. This activity is used to achieve a clear localization of the occlusion boundary to the corresponding occluder. E) A clear segmentation of the object boundaries is achieved using the motion discontinuities detected with MSTl_Model on-center-off-surround neurons. F) After the detected boundaries have been grouped and filled, the image is segmented in different regions representing the objects of the scene. G) Classification of object movement. The difference of object and background motion is computed as explained in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0003807#s2" target="_blank">Methods</a> section. Light object boundaries indicate a strong difference, darker outlines represent a movement similar to the background. Note, that object 5 and 2 have a strong motion contrast to the background despite the similar movement direction due to a much higher speed than the background. H) The results of the relative depth order derived automatically from the scene. A confidence value is applied to get a probability for the correctness of the depth order (indicated in percent). This is derived from the number of positions belonging to the object that indicate that the object is in front (#pos_front) and the number of positions that indicate that the object is in the background (#pos_bg) (conf = max(#pos_front, #pos_bg)/(#pos_front+#pos_bg).