Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields

摘要

In this paper, we show that the randomized sampling and voting process detects linear flow filed as a model-fitting problem. We introduce a random sampling method for solving the least-square model-fitting-problem using a mathematical property for the construction of pseudo-inverse. 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. Numerical examples for the test image sequences show the performance of our method.