Learning manifolds of dynamical models for activity recognition Dr

In action, activity or identity recognition it is sometimes useful, rather than to extract some spatio-temporal features from the volumes representing motions, to explicitly encode their dynamics by means of dynamical systems, such as for instance hidden Markov models, nonlinear dynamical systems, or hierarchical HMMs. Actions can then be classified by… CONTINUE READING