From 963c5190b75f5bc2e7557a2da13a400cf1f17461 Mon Sep 17 00:00:00 2001
From: Thibaut Horel <thibaut.horel@gmail.com>
Date: Sat, 30 Mar 2013 18:53:00 +0100
Subject: Typo fixes

---
 related.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'related.tex')

diff --git a/related.tex b/related.tex
index ff5a763..a575c97 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 typicaly fall into two categories: silhouette-based and
+Approaches to gait recognition typically 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
@@ -55,7 +55,7 @@ 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
+advantage of the wealth of research relating to \mbox{3-D} motion
 capture~\cite{mocap-survey}. 
 %Specifically, range cameras offer real-time depth
 %imaging, and 
-- 
cgit v1.2.3-70-g09d2

