NDLI: Global hand pose estimation by multiple camera ellipse tracking

Content Provider	Springer Nature Link
Author	Usabiaga, Jorge Erol, Ali Bebis, George Boyle, Richard Twombly, Xander
Copyright Year	2008
Abstract	Immersive virtual environments with life-like interaction capabilities have very demanding requirements including high-precision motion capture and high-processing speed. These issues raise many challenges for computer vision-based motion estimation algorithms. In this study, we consider the problem of hand tracking using multiple cameras and estimating its 3D global pose (i.e., position and orientation of the palm). Our interest is in developing an accurate and robust algorithm to be employed in an immersive virtual training environment, called “Virtual GloveboX” (VGX) (Twombly et al. in J Syst Cybern Inf 2:30–34, 2005), which is currently under development at NASA Ames. In this context, we present a marker-based, hand tracking and 3D global pose estimation algorithm that operates in a controlled, multi-camera, environment built to track the user’s hand inside VGX. The key idea of the proposed algorithm is tracking the 3D position and orientation of an elliptical marker placed on the dorsal part of the hand using model-based tracking approaches and active camera selection. It should be noted that, the use of markers is well justified in the context of our application since VGX naturally allows for the use of gloves without disrupting the fidelity of the interaction. Our experimental results and comparisons illustrate that the proposed approach is more accurate and robust than related approaches. A byproduct of our multi-camera ellipse tracking algorithm is that, with only minor modifications, the same algorithm can be used to automatically re-calibrate (i.e., fine-tune) the extrinsic parameters of a multi-camera system leading to more accurate pose estimates.
Starting Page	1
Ending Page	15
Page Count	15
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	21
Issue Number	1
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-05-24
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Virtual environments Ellipse tracking Model-based tracking Hand pose estimation Communications Engineering, Networks Image Processing and Computer Vision Pattern Recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multi-camera head pose estimation

A performance study for camera pose estimation using visual marker based tracking

Robust camera pose tracking for augmented reality using particle filtering framework

Recovery of 3D animal motions using cameras and mirrors

Region-based pose tracking with occlusions using 3D models

Efficient pose estimation using view-based object representations

Integrating perceptual level of detail with head-pose estimation and its uncertainty

Distributed, multi-sensor tracking of multiple participants within immersive environments using a 2-cohort camera setup

Multi-cue hand detection and tracking for a head-mounted augmented reality system

Global hand pose estimation by multiple camera ellipse tracking

Similar Documents

Multi-camera head pose estimation

A performance study for camera pose estimation using visual marker based tracking

Robust camera pose tracking for augmented reality using particle filtering framework

Recovery of 3D animal motions using cameras and mirrors

Region-based pose tracking with occlusions using 3D models

Efficient pose estimation using view-based object representations

Integrating perceptual level of detail with head-pose estimation and its uncertainty

Distributed, multi-sensor tracking of multiple participants within immersive environments using a 2-cohort camera setup

Multi-cue hand detection and tracking for a head-mounted augmented reality system

Global hand pose estimation by multiple camera ellipse tracking