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Building Temporal Models for Gesture Recognition

Bowden, R and Sarhadi, M (2000) Building Temporal Models for Gesture Recognition In: BMVC 2000 - The Eleventh British Machine Vision Conference, 2000-09-11 - 2000-09-14, Bristol, UK.

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Abstract

This work presents a piecewise linear approximation to non-linear Point Distribution Models for modelling the human hand. The work utilises the natural segmentation of shape space, inherent to the technique, to apply temporal constraints which can be used with CONDENSATION to support multiple hypotheses and quantum leaps through shape space. This paper presents a novel method by which the one-state transitions of the English Language are projected into shape space for tracking and model prediction using a HMM like approach.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Computing
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Bowden, RUNSPECIFIEDUNSPECIFIED
Sarhadi, MUNSPECIFIEDUNSPECIFIED
Date : 11 September 2000
Copyright Disclaimer : © 2000 BMVA
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:33
Last Modified : 28 Mar 2017 15:33
URI: http://epubs.surrey.ac.uk/id/eprint/812641

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