12th International Conference on Image Analysis and Processing (ICIAP'03) Component Analysis of Hidden Markov Models in Computer Vision Mantova, Italy September 17-September 19 ISBN: 0-7695-1948-2
Hidden Markov models (HMMs) have become a standard tool for pattern recognition in computer vision. Although parameter and topology estimation have been studied, and still are, detailed analysis of how these estimated parameters contribute to HMM performance is rarely addressed. In this paper we develop tools for measuring such contributions and illustrate key issues in a representative task of gesture recognition — 3D motion recovery from 2D projections.
Citation:
Terry Caelli, Brendan McCane, "Component Analysis of Hidden Markov Models in Computer Vision," iciap, pp.510, 12th International Conference on Image Analysis and Processing (ICIAP'03), 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||