From 2ec78535e079c799c03635b834bdfeafe0b4f6e6 Mon Sep 17 00:00:00 2001
From: Jon Whiteaker <jbw@berkeley.edu>
Date: Wed, 20 Mar 2013 23:29:41 -0700
Subject: did a pass on the paper, made some minor changes and did some cutting
 to get it under 8 pages

---
 related.tex | 22 +++++++++++++---------
 1 file changed, 13 insertions(+), 9 deletions(-)

(limited to 'related.tex')

diff --git a/related.tex b/related.tex
index 1ac25d9..561c041 100644
--- a/related.tex
+++ b/related.tex
@@ -19,7 +19,7 @@ Physiological traits include faces, fingerprints, and irises; speech and gait
 are behavioral.  Faces and gait are the most relevant biometrics for this paper
 as they both can be collected passively and involve image processing.
 
-Approaches to gait recognition fall into two categories: silhouette-based and
+Approaches to gait recognition typicaly fall into two categories: silhouette-based and
 model-based.  Silhouette-based techniques recognize gaits from a binary
 representation of the silhouette as extracted from each image, while
 model-based techniques fit a 3-D model to the silhouette to better track
@@ -56,17 +56,21 @@ 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
+capture~\cite{mocap-survey}. 
+%Specifically, range cameras offer real-time depth
+%imaging, and 
+The Kinect~\cite{kinect} is a widely available 3-D sensor (also known as a
+range camera) with a low price point, that has been leveraged to improve gait
+recognition~\cite{munsell:eccv12,hoffman:btas12}.  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 existing implementations of figure
-detection and skeleton fitting.  Therefore this paper will focus primarily on
-the classification part of skeleton recognition.
+Given the maturity of the solutions, we will use existing 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
-- 
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