Foreground segmentation for interactive displays

  • Authors:
  • Michael McGee;Richard Green

  • Affiliations:
  • University of Canterbury, Christchurch, New Zealand;University of Canterbury, Christchurch, New Zealand

  • Venue:
  • Proceedings of the 27th Conference on Image and Vision Computing New Zealand
  • Year:
  • 2012

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Abstract

We describe a method for segmenting the foreground of a live video stream. We use two Gaussian mixture models, combining cues from color and depth images to provide a high fidelity foreground estimation. This estimation is then used to power a sandbox game on an interactive public display. Our method achieves an accuracy of 90% in a variety of conditions.