Computer Vision News - April 2022

31 Advanced Methods and Deep Learning in Computer Vision Stages in the segmentation of moving objects: current frame, running median, result of background subtraction followed by morphological processing. The final result shows that higher level processing is still needed to disentangle the shadows. Note the intrinsic noise problems involved with such approaches. This figure shows the highly variable outputs of a multi-parameter algorithm for detecting pairs of eye features. In fact, because of the huge variations in the Bush LFW dataset, the algorithm finds correct pairs of eyes in only about 50% of the first 30 database images. A more satisfactory eye detector would need to use a substantial number of highly trained neural detection masks. Location of white road markings using RANSAC. Note that the three sets of red lines do not converge perfectly to a single spot on the horizon, because the white markings are slightly curved and candidate lines were taken to require a minimum of 6 points.