Behaviour based particle filtering for human articulated motion tracking

This paper presents an approach to human motion tracking using multiple pre-trained activity models for propagation of particles in Annealed Particle Filtering. Hidden Markov models are trained on dimensionally reduced joint angle data to produce models of activity. Particles are divided between mod...

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Bibliographic Details

Main Authors:	John Darby, Baihua Li, Nicholas Costen
Format:	Default Conference proceeding
Published:	2008
Subjects:	Other information and computing sciences not elsewhere classified untagged Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/20275
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