Dynamic Background Replacement

This is a quick proof of concept for dynamic background replacement, as seen in many already available applications. It's based on background subtraction. The background is captured and stored. Then, every pixel from the images captured by the camera is analyzed. If they lay within a range of the equivalent pixel from the image that was captured as background, they are interpreted as such and substituted by the artificial background. If not, they are taken as foreground, and kept as they are. In the first part of this video, we can observe the effect of my shadow in the wall, as I was laying directly against it. In the second one, disturbances are appreciated from the mirror, the color of the door being similar to the one of my skin, or the poster in the mirror being the same color as my t-shirt. More information at http://carlos.hernandez.im The video clips used for background, which are under Creative Commons licenses, are: * more sunset @ the beach.wmv: http://www.flickr.com/photos/joshuaommen/4559188492/ * Snow landscape in Sweden: http://www.flickr.com/photos/karlnorling/5321210714/ The song used in the video, which is also under a Creative Commons license, is: * Anybody here, by Hype: http://www.myspace.com/hypemusic