Tracking human pose with multiple activity models

Tracking unknown human motions using generative tracking techniques requires the exploration of a high-dimensional pose space which is both difficult and computationally expensive. Alternatively, if the type of activity is known and training data is available, a low-dimensional latent pose space may...

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Bibliographic Details

Main Authors:	John Darby, Baihua Li, Nicholas Costen
Format:	Default Article
Published:	2010
Subjects:	Artificial intelligence not elsewhere classified Other information and computing sciences not elsewhere classified Human motion analysis 3D human tracking Generative model Particle filter Annealing Artificial Intelligence and Image Processing Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/20263
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