Real-time and markerless 3D human motion capture using multiple views

  • Authors:
  • Brice Michoud;Erwan Guillou;Saïda Bouakaz

  • Affiliations:
  • Laboratory LIRIS, CNRS, UMR, University of Lyon, France;Laboratory LIRIS, CNRS, UMR, University of Lyon, France;Laboratory LIRIS, CNRS, UMR, University of Lyon, France

  • Venue:
  • Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
  • Year:
  • 2007

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Abstract

We present a fully automated system for real-time markerless 3D human motion capture. Our approach, based on fast algorithms, uses simple techniques and requires low-cost devices. Using input from multiple calibrated webcams, an extended Shape-From-Silhouette algorithm reconstructs the person in real-time. Fast 3D shape and 3D skin parts analysis provide a robust and real-time system for human full-body tracking. Animation skeleton and simple morphological constraints make easier the motion capture process. Thanks to fast and simple algorithms and low-cost cameras, our system is perfectly apt for home entertainment device. Results on real video sequences with complicated motions demonstrate the robustness of the approach.