Voting method for the detection of subpixel flow field
In this paper, we show that the randomized sampling and voting process detects optical flow. Using an appropriate number of images from a sequence of images, our method detects subpixel motion in this sequence. We use the accumulator space for the unification of these flow vectors which are computed from different time intervals. Numerical examples for the test image sequences show the performance of our method.
optical flow hough transform subpixel analysis model fitting random algorithms