Time-varing Shape Tensors for Scenes with Multiply Moving Points

We derive single view indexing functions for dynamic scenes - where dynamic is defined as a scene consisting of multiply moving points each moving independently with constant velocity. The indexing functions we derive are view independent and form a generalization of the 'shape tensors' associated with rigid scenes by introducing a time-varying parameter. We derive those indexing functions under full 3D projective, 3D affine, and various reduced configurations.

The indexing functions were implemented and tested for matching against objects for which their non-rigid motion is an intrinsic part
of their character - human gait recognition and hand gesture identification are the two chosen application examples.