Motion classification using spatiotemporal approximation of object trajectories

Techniques for understanding video object motion activity are becoming increasingly important with the widespread adoption of CCTV surveillance systems. Motion trajectories provide rich spatiotemporal information about an object's activity. This thesis presents a novel technique for clustering and classification of object trajectory based video motion clips using basis function approximation.EThOS - Electronic Theses Online ServiceGBUnited Kingdo