The State-of-the-Art Research Progress on Motion Segmentation

A large number of the recently proposed motion segmentation algorithms model the problem as one of clustering the trajectory data to its corresponding affine subspace. While these algorithms achieve near perfect results on benchmark datasets, they fail ...

It is a well known result in the vision literature that the motion of independently moving objects viewed by an affine camera lie on affine subspaces of dimension four or less. As a result a large number of the recently proposed motion segmentation ...

Most recent approaches to motion segmentation use optical flow to segment an image into the static environment and independently moving objects. Neural network based approaches usually require large amounts of labeled training data to achieve ...