Motion-model-based boundary extraction

Motion boundary extraction and optical flow computation are two subproblems of the motion recovery problem that cannot be solved independently of one another. We present a local, non-iterative algorithm that extracts motion boundaries and computes optical flow simultaneously. This is achieved by modeling a 3-D image intensity block with a general motion model that presumes locally coherent motion. Local motion coherence, which is measured by the fitness of the motion model, is the criterion we use to determine whether motion should be estimated. If not, then motion boundaries should be located. The motion boundary extraction algorithm is evaluated quantitatively and qualitatively against other existing algorithms in a scheme originally developed for edge detection.