The temporal relationship between local spatio-temporal motion patterns is captured via a distribution-based Hidden Markov Model (
HMM) and the spatial relationship by a coupled
HMM.
The Hidden Markov Model (
HMM) is the most common and successful approach for isolated voice commands recognition today.
We applied Baum-Welch algorithm for the training of
HMMs for all classes.
The emission probability matrices for the first-order and second-order
HMMs are shown as follows:
Fridman demonstrated that visual behavior could be used to predict driving environment using
HMM from just 6 seconds with the 100-car naturalistic driving data [17].
These features are statistically modeled using the Bayesian network, CRFs, and
HMMs. Thirty cataract surgery videos are used for the testing purpose having 720 x 576 pixels.
As previously noted, of the two most popular families of stochastic taggers,
HMMs and MaxEnt, the former has a longer history in its application to natural language processing.
Offline recognition of unconstrained handwritten texts using
hmms and statistical language models.