Article

A general method for comparing the expected performance of tracking and motion capture systems

Authors:

B. Danette Allen,

Greg WelchAuthors Info & Claims

VRST '05: Proceedings of the ACM symposium on Virtual reality software and technology

Pages 201 - 210

https://doi.org/10.1145/1101616.1101658

Published: 07 November 2005 Publication History

Abstract

We introduce a general method for evaluating and comparing the expected performance of sensing systems for interactive computer graphics. Example applications include head tracking systems for virtual environments, motion capture systems for movies, and even multi-camera 3D vision systems for image-based visual hulls.Our approach is to estimate the asymptotic position and/or orientation uncertainty at many points throughout the desired working volume, and to visualize the results graphically. This global performance estimation can provide both a quantitative assessment of the expected performance, and intuition about the type and arrangement of sources and sensors, in the context of the desired working volume and expected scene dynamics.

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Cited By

Pribanić T(2022)The Principles of 3D Photogrammetry Systems Used in Human Motion Capture and Postural AssessmentMeasurement and Analysis of Human Locomotion10.1007/978-3-030-79685-3_6(95-128)Online publication date: 23-Jan-2022
https://doi.org/10.1007/978-3-030-79685-3_6
Baytas MBatis EBylund MÇay DYantaç AFjeld MHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)ViewfinderProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3156616(465-471)Online publication date: 26-Nov-2017
https://dl.acm.org/doi/10.1145/3152832.3156616
Baytaş MYantaç AFjeld MFjeld MFratarcangeli MSjölie DStaadt OUnger J(2017)LabDesignARProceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology10.1145/3139131.3141778(1-2)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3139131.3141778
Show More Cited By

Index Terms

A general method for comparing the expected performance of tracking and motion capture systems
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation
      1. Motion capture
      2. Motion processing
    2. Graphics systems and interfaces
      1. Virtual reality
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic reasoning algorithms
      1. Kalman filters and hidden Markov models
    2. Stochastic processes

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Published In

cover image ACM Conferences

VRST '05: Proceedings of the ACM symposium on Virtual reality software and technology

November 2005

270 pages

ISBN:1595930981

DOI:10.1145/1101616

General Chairs:
Gurminder Singh
Naval Postgraduate School
,
Rynson Lau
City University of Hong Kong, Hong Kong
,
Program Chairs:
Yiorgos Chrysanthou
University of Cyprus, Cyprus
,
Rudolph Darken
Naval Postgraduate School

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 November 2005

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VRST05: The ACM Symposium on Virtual Reality Software and Technology 2005

November 7 - 9, 2005

CA, Monterey, USA

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Overall Acceptance Rate 66 of 254 submissions, 26%

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Cited By

Pribanić T(2022)The Principles of 3D Photogrammetry Systems Used in Human Motion Capture and Postural AssessmentMeasurement and Analysis of Human Locomotion10.1007/978-3-030-79685-3_6(95-128)Online publication date: 23-Jan-2022
https://doi.org/10.1007/978-3-030-79685-3_6
Baytas MBatis EBylund MÇay DYantaç AFjeld MHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)ViewfinderProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3156616(465-471)Online publication date: 26-Nov-2017
https://dl.acm.org/doi/10.1145/3152832.3156616
Baytaş MYantaç AFjeld MFjeld MFratarcangeli MSjölie DStaadt OUnger J(2017)LabDesignARProceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology10.1145/3139131.3141778(1-2)Online publication date: 8-Nov-2017
https://dl.acm.org/doi/10.1145/3139131.3141778
Ilie AWelch G(2014)Online control of active camera networks for computer vision tasksACM Transactions on Sensor Networks10.1145/253028310:2(1-40)Online publication date: 31-Jan-2014
https://dl.acm.org/doi/10.1145/2530283
Lugrin JWiebusch DLatoschik MStrehler AThalmann NWu ETachi SThalmann DNedel LXu W(2013)Usability benchmarks for motion tracking systemsProceedings of the 19th ACM Symposium on Virtual Reality Software and Technology10.1145/2503713.2503730(49-58)Online publication date: 6-Oct-2013
https://dl.acm.org/doi/10.1145/2503713.2503730
Kyme AMeikle SBaldock CFulton R(2012)Tracking and characterizing the head motion of unanaesthetized rats in positron emission tomographyJournal of The Royal Society Interface10.1098/rsif.2012.03349:76(3094-3107)Online publication date: 20-Jun-2012
https://doi.org/10.1098/rsif.2012.0334
Zhang JWelch GBishop G(2010)Observability and estimation uncertainty analysis for PMU placement alternativesNorth American Power Symposium 201010.1109/NAPS.2010.5618970(1-8)Online publication date: Sep-2010
https://doi.org/10.1109/NAPS.2010.5618970
Keitler PBecker BKlinker G(2010)Management of tracking for industrial AR setups2010 IEEE International Symposium on Mixed and Augmented Reality10.1109/ISMAR.2010.5643553(73-82)Online publication date: Oct-2010
https://doi.org/10.1109/ISMAR.2010.5643553
Pustka DWillneff JWenisch OLukewille PAchatz KKeitler PKlinker G(2010)Determining the point of minimum error for 6DOF pose uncertainty representation2010 IEEE International Symposium on Mixed and Augmented Reality10.1109/ISMAR.2010.5643548(37-45)Online publication date: Oct-2010
https://doi.org/10.1109/ISMAR.2010.5643548
Zhang JWelch GBishop GHuang Z(2010)Optimal PMU placement evaluation for power system dynamic state estimation2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)10.1109/ISGTEUROPE.2010.5639006(1-7)Online publication date: Oct-2010
https://doi.org/10.1109/ISGTEUROPE.2010.5639006
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