jon's final pass part one

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@@ -50,23 +50,23 @@ age happen gradually).  We discuss how uniqueness is met in detail in
 By using skeleton as a biometric for recognition, we can formulate skeleton
 recognition in a similar way as we can face recognition.  The equivalent parts
 would be figure detection, skeleton fitting, and classification. Figure
-detection and skeleton fitting map to silhouette extraction and model fitting
-in gait detection, but as previously noted, they are severely limited.
-However, Zhao~\etal~\cite{zhao20063d} perform gait recognition in 3-D using
-multiple cameras.  By moving to 3-D, many of the problems related to silhouette
-extraction and model fitting are removed.  Additionally, by moving to 3-D, we
-can take advantage of the wealth of research relating to motion
+detection and skeleton fitting respectively map to silhouette extraction and
+model fitting in gait detection, but as previously noted, they are severely
+limited.  However, Zhao~\etal~\cite{zhao20063d} perform gait recognition in 3-D
+using multiple cameras.  By moving to 3-D, many of the problems related to
+silhouette extraction and model fitting are removed.  Additionally we can take
+advantage of the wealth of research relating to 3-D motion
 capture~\cite{mocap-survey}. Specifically, range cameras offer real-time depth
 imaging, and the Kinect~\cite{kinect} in particular is a widely available range
 camera with a low price point.  Figure detection and skeleton fitting have also
 been studied in motion capture, mapping to region of interest detectors and
 human body part identification or pose estimation respectively in this
-context~\cite{plagemann:icra10,ganapathi:cvpr10,shotton:cvpr11}.
-Furthermore, OpenNI~\cite{openni} and the Kinect for Windows
-SDK~\cite{kinect-sdk} are two systems that perform figure detection and
-skeleton fitting for the Kinect.  Given the maturity of the solutions, we will
-use implementations of figure detection and skeleton fitting.  Therefore this
-paper will focus primarily on the classification part of skeleton recognition.
+context~\cite{plagemann:icra10,ganapathi:cvpr10,shotton:cvpr11}.  Furthermore,
+OpenNI~\cite{openni} and the Kinect for Windows SDK~\cite{kinect-sdk} are two
+systems that perform figure detection and skeleton fitting for the Kinect.
+Given the maturity of the solutions, we will use implementations of figure
+detection and skeleton fitting.  Therefore this paper will focus primarily on
+the classification part of skeleton recognition.
 
 
 %a person from an image to measure gait, but can also be measured from floor