Hierarchical Markov model: Difference between revisions

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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 ==
{{Reflist}}
 
== External links ==
* [http://www.example.com/ example.com]
 
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