Markerless Full Body Tracking by Integrating Multiple Cues

  title={Markerless Full Body Tracking by Integrating Multiple Cues},
  author={Roland Kehl and Matthieu Bray and Luc Van Gool},
This work proposes a novel markerless solution to full body pose tracking by integrating multiple cues such as edges, color information and volumetric reconstruction. A model built from superellipsoids is fitted to a colored volumetric reconstruction by using Stochastic Meta Descent (SMD) while taking advantage of the color information to overcome ambiguities caused by limbs touching each other. As the volumetric reconstruction is inaccurate at times, the tracking is refined by matching model… CONTINUE READING