Model-based hand gesture tracking in ToF image sequences
View/Open
modelgesturetracking.pdf (342,8Kb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/9001
Document typeArticle
Defense date2010-07
Rights accessRestricted access - publisher's policy
Abstract
This paper presents a Time-of-Flight (ToF) camera based system for hand motion and gesture tracking. A 27 degree of freedom
(DOF) hand model is constructed and fleshed out by ellipsoids. This allows the synthesis of range images of the model through projective geometry. The hand pose is then tracked with a particle filter by statistically measuring the hypothetical pose against the ToF input image; where the inside/outside alignment of the hand pixels and the depth differences serve as classifying metrics. The high DOF tracking problem for the particle filter is addressed by reducing the high dimensionality of the
joint angle space to a low dimensional space via Principal Component Analysis (PCA). The basis vectors are learned from a few basic model configurations and the transformations between these poses. This results in a system capable of practical hand tracking in a restricted gesture configuration space.
CitationGudmundsson, S. [et al.]. Model-based hand gesture tracking in ToF image sequences. "Lecture notes in computer science", Juliol 2010, vol. 6169/2010, p. 118-127.
ISSN0302-9743
Publisher versionhttp://www.springerlink.com/content/l1117675tv565twq/
Files | Description | Size | Format | View |
---|---|---|---|---|
modelgesturetracking.pdf![]() | 342,8Kb | Restricted access |
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
Attribution-NonCommercial-NoDerivs 3.0 Spain