Semantic interpretation of video subspaces in the motion domain
In this paper we investigate a subspace modelling technique based on dense motion vector fields for its potential to obtain semantic information about a video sequence. Experiments show the technique's abilities to localize motion over several frames and to spot different motion modes within a scene/shot.