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Crowdsourcing 3D Motion Reconstruction

  • Yueh-Tung Chen
  • Cheng-Hsien Han
  • Hao-Wei Jeng
  • Hao-Chuan Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8698)

Abstract

Reconstructing 3D motions from 2D video recordings is a useful yet difficult task. In this paper, we present a crowdsourcing system for motion reconstruction. Our insight is that we may outsource motion reconstruction to indefinite users online by allowing the users to contribute their motions with popular motion sensors shipped with game consoles (e.g., Microsoft’s Kinect). The system we prototyped, Motionary, provides functions for requesters to post videos of human motions on our website, and for interested contributors to help reconstruct these motions by performing these motions to our system. The system then records the 3D motions with Kinect during their performance. Our experience shows that the design has the potential to obtain quality motion data without great cost.

Keywords

Crowdsourcing human computation motion reconstruction motion capture 

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References

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    Wei, X., Chai, J.: VideoMocap: Modeling Physically Realistic Human Motion from Monocular Video Sequences. In: Proc. of SIGGRAPH (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yueh-Tung Chen
    • 1
  • Cheng-Hsien Han
    • 1
  • Hao-Wei Jeng
    • 1
  • Hao-Chuan Wang
    • 1
    • 2
  1. 1.Department of Computer ScienceNational Tsing-Hua UniversityHsinchuTaiwan (R.O.C.)
  2. 2.Institute of Information Systems and ApplicationsNational Tsing-Hua UniversityHsinchuTaiwan (R.O.C.)

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