Abstract
In this paper, we show that the randomized sampling and voting process detects optical flow. We introduce a random sampling method for solving the least-squares model-fitting problem using a mathematical property for the construction of pseudo-inverse. Using an appropriate number of images from a sequence of images, our method detects subpixel motion in this sequence. It is possible to compute subpixel motions from a long-time interval. 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.
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