From 3a61a1866985426ea5593ac56c2696f5caf4ff16 Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Fri, 2 Mar 2012 03:05:24 -0800
Subject: Minor corrections.

---
 intro.tex | 26 +++++++++++++++-----------
 1 file changed, 15 insertions(+), 11 deletions(-)

(limited to 'intro.tex')

diff --git a/intro.tex b/intro.tex
index 5a4c0c1..5e51a36 100644
--- a/intro.tex
+++ b/intro.tex
@@ -31,15 +31,19 @@ Xbox 360~\cite{} does use the height inferred from the Kinect as part of its
 user identification algorithm, albeit in addition to other attributes including
 face recognition.
 
-The paper is organized as follows.  First we discuss prior methods of person
-identification, in addition to the advances in the technologies pertaining to
-skeleton mapping (Section~\ref{sec:related}).  Next we use a dataset of actual
-skeletal measurements to show that identification by skeleton is feasible, even
-when we simulate the error of measuring skeletons with a Kinect
-(Section~\ref{sec:}).  Finally, we Lastly, we collect skeleton data with a
-Kinect in an uncontrolled setting and we apply preprocessing and classification
-algorithms to this dataset (Section~\ref{sec:}).  We evaluate the performance
-of skeleton recognition with varying group size and compare it to face
-recognition. We conclude by discussing challenges working with the Kinect and
-future work (Section~\ref{sec:conclusion}).
+The paper is organized as follows.  First we discuss prior methods of
+person identification, in addition to the advances in the technologies
+pertaining to skeleton mapping (Section~\ref{sec:related}).  Next we
+use a dataset of actual skeletal measurements to show that
+identification by skeleton is feasible, even when we simulate the
+error of measuring skeletons with a Kinect
+(Section~\ref{sec:uniqueness}). We then discuss an error model and the
+resulting algorithm to do person identification
+(Section~\ref{sec:algorithm}).  Finally, we collect skeleton data with
+a Kinect in an uncontrolled setting and we apply preprocessing and
+classification algorithms to this dataset
+(Section~\ref{sec:experiment}).  We evaluate the performance of
+skeleton recognition with varying group size and compare it to face
+recognition. We conclude by discussing challenges working with the
+Kinect and future work (Section~\ref{sec:conclusion}).
 
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