Recovering 3-D motion parameters from optical flow field using randomized Hough transform
Pattern Recognition Letters
Motion analysis by random sampling and voting process
Computer Vision and Image Understanding
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In this paper, we show that randomized sampling and voting processes allow to treat linear flow field detection as a model-fitting problem. If we use an appropriate number of images from a sequence of images, it is possible to detect subpixel motion in this sequence. We use the accumulator space for the unification of these flow vectors which are computed from different time intervals.