Experiment 6: Detection of moving objects in a real sequence.

A) Input image of the sequence representing two objects moving in opposite directions and a translational camera movement upwards. B) Mean optic flow estimated in area MT_Model, the direction of movement is depicted with the color code shown in the top right corner. C) In movement direction of the objects the dark region represents the occlusions detected, behind the objects white positions indicate the disoccluded region. Due to higher object speed the regions here are bigger than in the other experiments. According to the noise included in the scene, the estimates also get noisier, but still the overall response reflects the correct occlusion and disocclusion regions. D) The motion discontinuities including temporal integration (three frames used) clearly indicate the object boundary, E) after grouping the scene is segmented into background (black) and the two objects (gray and white). The motion discontinuities in D) in the upper left and the lower right part are not according to the results of the detected kinetic occlusion. The results in E) after the interaction with TO_Model thus correctly indicate only 2 objects. F) Comparison of motion discontinuity results without (left column) and with (right column) temporal integration. Without temporal integration the quality of the motion discontinuities is reduced: For expample, the gap in the smaller object at the lower left corner can only be closed using the temporal integration (first row, position indicated in light blue in D). Also the outline of the other object becomes straighter (second row, position indicated in red in D).