\section{Conclusion}
\label{sec:conclusion}

In this paper, we present exciting and promising results for face recognition.
With greater than 90\% accuracy for less than 10 people, skeleton recognition
can already be used in households, \eg to load personalized settings on a home
entertainment system.  Skeleton recognition performs less than 10\% worse than
face recognition in the current setting.  This is a good result considering
face recognition has been studied for years and is more mature.  Furthermore,
skeleton recognition works in many situations when face recognition does not.
For example, when a person is not facing the camera or when there is not enough
light.

%we introduce skeleton recognition.  We show that skeleton
%measurements are unique enough to distinguish individuals using a dataset of
%real skeletons.  We present a probabilistic model for recognition, and extend
%it to take advantage of consecutive frames. Finally we test our model by
%collecting data for a week in a real-world setting.  Our results show that
%skeleton recognition performs close to face recognition, and it can be
%used in other scenarios.

Skeleton recognition has room for improvement. First of all, the Kinect
SDK can only fit two skeletons at a time.  Therefore, when a group of people
walk in front of the Kinect, not all of them can be recognized via skeleton,
where they might be by face recognition.  Second, figure detection can
give false positives, which caused skeletons to be fit on a window and a
vacuum cleaner during our data collection.

Finally,  as the resolution of range cameras increases and skeleton fitting
algorithms improve, so will the accuracy of skeleton recognition.  Microsoft is
planning on putting the Kinect technology inside
laptops~\footnote{\url{http://www.thedaily.com/page/2012/01/27/012712-tech-kinect-laptop/}}
and the Asus Xtion
pro~\footnote{\url{http://www.asus.com/Multimedia/Motion_Sensor/Xtion_PRO/}} is
a range camera like the Kinect designed for PCs. The increased usage of range
cameras and competition among vendors can only lead to advancements in the
associated technologies. 
