Interesting, but not big news technically speaking (Score 1)

From the article at least, it doesn't look like they're doing anything particularly special, here. Segmenting people from the background and running something like eigenface classification or template matching on the foreground... anyone who's halfway competent with some of the major computer vision libraries out there could probably write something like this without really straining. Especially if it's in a partially-controlled environment with good lighting.