Foreground segmentation for interactive displays
Michael McGee, Richard Green · 2012
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.