Hierarchical Markov model

This is an old revision of this page, as edited by Nekabadesvetlina (talk | contribs) at 21:07, 16 December 2011. The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.


Hierarchical Markov Models have been recently applied to recognize human behavior at different levels of abstraction. The term behavior recognition is used to refer to the task of determining a high-level task that a person is performing (e.g., cooking) based on a sequence of low-level observations (e.g., the ___location of the person in a room) often captured by devices such as video cameras and motion sensors.


References