Hankelet-based dynamical systems modeling for 3D action recognition
We model an action as sequence of outputs of linear time invariant (LTI) systems. We represent the outputs of LTI systems by means of Hankelets. We adopt an HMM to model the transitions from one LTI system to another. We formulate an inference and supervised learning formulation for our model. We also present a deep analysis of the parameter settings for our action representation.
action hidden markov model hankel matrix linear time invariant system discriminative learning