An Efficient Algorithm for Modelling Duration in Hidden Markov Models, with a Dramatic Application

Søren Hauberg; Jakob Sloth

doi:10.1007/s10851-007-0059-9

An Efficient Algorithm for Modelling Duration in Hidden Markov Models, with a Dramatic Application

Søren Hauberg, Jakob Sloth

Datalogisk Institut

3 Citationer (Scopus)

Abstract

For many years, the hidden Markov model (HMM) has been one of the most popular tools for analysing sequential data. One frequently used special case is the left-right model, in which the order of the hidden states is known. If knowledge of the duration of a state is available it is not possible to represent it explicitly with an HMM. Methods for modelling duration with HMM's do exist (Rabiner in Proc. IEEE 77(2):257---286, [1989]), but they come at the price of increased computational complexity. Here we present an efficient and robust algorithm for modelling duration in HMM's, and this algorithm is successfully used to control autonomous computer actors in a theatrical play.
Udgivelsesdato: 2008

Originalsprog	Engelsk
Tidsskrift	Journal of Mathematical Imaging and Vision
Vol/bind	31
Udgave nummer	2-3
Sider (fra-til)	165-170
Antal sider	6
ISSN	0924-9907
DOI	https://doi.org/10.1007/s10851-007-0059-9
Status	Udgivet - 2008

Emneord

Det Natur- og Biovidenskabelige Fakultet

Adgang til dokumentet

10.1007/s10851-007-0059-9

Citationsformater

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title = "An Efficient Algorithm for Modelling Duration in Hidden Markov Models, with a Dramatic Application",

abstract = "For many years, the hidden Markov model (HMM) has been one of the most popular tools for analysing sequential data. One frequently used special case is the left-right model, in which the order of the hidden states is known. If knowledge of the duration of a state is available it is not possible to represent it explicitly with an HMM. Methods for modelling duration with HMM's do exist (Rabiner in Proc. IEEE 77(2):257---286, [1989]), but they come at the price of increased computational complexity. Here we present an efficient and robust algorithm for modelling duration in HMM's, and this algorithm is successfully used to control autonomous computer actors in a theatrical play. Udgivelsesdato: 2008",

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AB - For many years, the hidden Markov model (HMM) has been one of the most popular tools for analysing sequential data. One frequently used special case is the left-right model, in which the order of the hidden states is known. If knowledge of the duration of a state is available it is not possible to represent it explicitly with an HMM. Methods for modelling duration with HMM's do exist (Rabiner in Proc. IEEE 77(2):257---286, [1989]), but they come at the price of increased computational complexity. Here we present an efficient and robust algorithm for modelling duration in HMM's, and this algorithm is successfully used to control autonomous computer actors in a theatrical play. Udgivelsesdato: 2008

KW - Faculty of Science

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KW - Image Group

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KW - Theatrical Play

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JO - Journal of Mathematical Imaging and Vision

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