Introduction - If you have any usage issues, please Google them yourself
Many feature tracking algorithms have been proposed
for motion segmentation, but the resulting trajectories
are not necessarily correct. In this paper,
we propose a technique for removing outliers based
on the knowledge that correct trajectories are constrained
to be in a subspace of their domain. We first
fit the subspace to the detected trajectories robustly
using RANSAC and then remove those that have large
residuals. Using real video sequences, we demonstrate
that our method is effective even if multiple objects are
moving in the scene. We also confirm that the separation
accuracy is indeed improved by our method.