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Combining discriminative and model based approaches for hand pose estimation

Krejov, P, Gilbert, A and Bowden, R (2015) Combining discriminative and model based approaches for hand pose estimation In: 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 4 - 8 May 2015, Ljubljana.

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Abstract

In this paper we present an approach to hand pose estimation that combines both discriminative and modelbased methods to overcome the limitations of each technique in isolation. A Randomised Decision Forests (RDF) is used to provide an initial estimate of the regions of the hand. This initial segmentation provides constraints to which a 3D model is fitted using Rigid Body Dynamics. Model fitting is guided using point to surface constraints which bind a kinematic model of the hand to the depth cloud using the segmentation of the discriminative approach. This combines the advantages of both techniques, reducing the training requirements for discriminative classification and simplifying the optimization process involved in model fitting by incorporating physical constraints from the segmentation. Our experiments on two challenging sequences show that this combined method outperforms the current state-of-the-art approach.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Krejov, PUNSPECIFIEDUNSPECIFIED
Gilbert, AUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Date : 8 May 2015
Identification Number : 10.1109/FG.2015.7163141
Additional Information : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 21 Oct 2015 08:54
Last Modified : 21 Oct 2015 08:54
URI: http://epubs.surrey.ac.uk/id/eprint/808990

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