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10.1145/1667146.1667172acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
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Markerless motion capture using a single depth sensor

Published: 16 December 2009 Publication History

Abstract

We present a robust framework for tracking skeleton joints in real-time by using a single time-of-flight depth sensor. The framework is able to remove the background noise inherent in time-of-flight cameras, detect multiple people, and track up to 30 joints of free motion for each person. The approach has several advantages over traditional motion capture, as it is a cheap alternative to magnetic and optical systems, and requires no markers whatsoever. Unlike markerless systems based on RGB cameras [Duetscher et al. 2000; Kehl and Van Gool 2006], our framework yields dependable results at an interactive rate using a single camera.

References

[1]
Duetscher, J., Blake, A., and Reid, I. 2000. Articulated body motion capture by annealed particle filtering. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on 2, 2126.
[2]
Kehl, R., and Van Gool, L. 2006. Markerless tracking of complex human motions from multiple views. Comput. Vis. Image Underst. 104, 2, 190--209.

Cited By

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  • (2019)Human body reshaping and its application using multiple RGB-D sensorsImage Communication10.1016/j.image.2019.08.01179:C(71-81)Online publication date: 1-Nov-2019
  • (2016)Human pose estimation using two RGB-D sensors2016 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2016.7532564(1279-1283)Online publication date: Sep-2016
  • (2013)Multi-task Forest for Human Pose Estimation in Depth ImagesProceedings of the 2013 International Conference on 3D Vision10.1109/3DV.2013.43(271-278)Online publication date: 29-Jun-2013
  • Show More Cited By

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cover image ACM Conferences
SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Sketches
December 2009
45 pages
ISBN:9781450379366
DOI:10.1145/1667146
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 December 2009

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  • Research-article

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SA09
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SA09: SIGGRAPH ASIA 2009
December 16 - 19, 2009
Yokohama, Japan

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

View all
  • (2019)Human body reshaping and its application using multiple RGB-D sensorsImage Communication10.1016/j.image.2019.08.01179:C(71-81)Online publication date: 1-Nov-2019
  • (2016)Human pose estimation using two RGB-D sensors2016 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2016.7532564(1279-1283)Online publication date: Sep-2016
  • (2013)Multi-task Forest for Human Pose Estimation in Depth ImagesProceedings of the 2013 International Conference on 3D Vision10.1109/3DV.2013.43(271-278)Online publication date: 29-Jun-2013
  • (2013)Full-Body Human Motion Capture from Monocular Depth ImagesTime-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications10.1007/978-3-642-44964-2_9(188-206)Online publication date: 2013
  • (2013)Monocular Pose Capture with a Depth Camera Using a Sums-of-Gaussians Body ModelPattern Recognition10.1007/978-3-642-40602-7_44(415-424)Online publication date: 2013
  • (2012)Self-Adaptive Response in Spatial Information EcosystemsProceedings of the 2012 IEEE Sixth International Conference on Self-Adaptive and Self-Organizing Systems Workshops10.1109/SASOW.2012.44(211-216)Online publication date: 10-Sep-2012

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