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Modeling and copying human head movements

Abstract:

This paper derives two discrete motion models for three-dimensional (3-D) pose recovery starting from the stochastic differential equations that describe the object's motion in continuous time. The velocity is considered first as a Wiener process, which underlies the very often-used constant velocity model, and second as an Ornstein-Uhlenbeck process. Analysis of the autocorrelation signal derived in experiment from visual tracking of both translational and rotational movements of a human hea...

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Publication status:
Published

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Publisher copy:
10.1109/70.817672

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Publisher:
IEEE
Journal:
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION
Volume:
15
Issue:
6
Pages:
1095-1108
Publication date:
1999-12-01
DOI:
ISSN:
1042-296X
Source identifiers:
62913
Language:
English
Keywords:
Pubs id:
pubs:62913
UUID:
uuid:33f1ccb1-dfaf-4179-970d-67caa36f3936
Local pid:
pubs:62913
Deposit date:
2012-12-19

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