Region segmentation based on active mesh representation of motion: comparison of parallel and sequential approaches
An active mesh representation of motion has been developed by the authors. It describes the motion in an image sequence by the trajectories of a set of nodes that form a mesh (also known as a control grid). In this paper we investigate how to cluster the nodes, or equivalently the mesh elements, so that the nodes in the same group have similar global motions. We present and compare two approaches. The parallel approach first finds a set of global motion parameters for each element and then partitions these parameters using the K-means clustering algorithm; The sequential (or layered) approach recursively extracts the nodes with the dominant motion from all the nodes, using a modified robust regression algorithm.