From b072ca61a5bf1b36fb6eaa06232bfc5472db4dbf Mon Sep 17 00:00:00 2001
From: Jon Whiteaker <jbw@berkeley.edu>
Date: Tue, 28 Feb 2012 02:42:44 -0800
Subject: first part of related work

---
 intro.tex      |  2 +-
 references.bib | 47 +++++++++++++++++++++++++++++++++++++++++++++--
 related.tex    | 32 ++++++++++++++++++++++++++++++++
 3 files changed, 78 insertions(+), 3 deletions(-)

diff --git a/intro.tex b/intro.tex
index c138b1d..5a4c0c1 100644
--- a/intro.tex
+++ b/intro.tex
@@ -4,7 +4,7 @@
 Person identification has become a valuable asset, whether for means of
 authentication, personalization, or other applications.  Previous work revolves
 around either physiological biometrics, such as face recognition, or behavioral
-biometrics such as voice or gait recognition.  In this paper, we propose using
+biometrics such as gait recognition.  In this paper, we propose using
 skeletal measurements as a new physiological biometric for recognition.
 
 In recent years, advances in range cameras have given us access to increasingly
diff --git a/references.bib b/references.bib
index 4615647..b2a3a58 100644
--- a/references.bib
+++ b/references.bib
@@ -138,8 +138,6 @@
     number = {White Paper, Issue No. 1},
     year = 2006,
     month=may,
-    note={Web registration required:
-    \url{http://www.pmc-sierra.com/cgi-bin/extras/signup.pl}},
 }
 
 
@@ -277,3 +275,48 @@ journal = "American Journal of Physical Anthropology",
 volume = "125",
 pages = "331--342"
 }
+
+@article{mocap-survey,
+    title = "A survey of advances in vision-based human motion capture and analysis",
+    journal = "Computer Vision and Image Understanding",
+    volume = "104",
+    number = "2–3",
+    pages = "90 - 126",
+    year = "2006",
+    author = "Thomas B. Moeslund and Adrian Hilton and Volker Krüger",
+}
+@article{face-survey,
+ author = {Zhao, W. and Chellappa, R. and Phillips, P. J. and Rosenfeld, A.},
+ title = {Face recognition: A literature survey},
+ journal = {ACM Comput. Surv.},
+ volume = {35},
+ issue = {4},
+ month = {December},
+ year = {2003},
+ issn = {0360-0300},
+ pages = {399--458},
+ numpages = {60},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+} 
+
+@book{bio-survey,
+ author = {Jain, A. K. and Bolle, Ruud and Pankanti, Sharath},
+ title = {Biometrics: Personal Identification in Networked Society},
+ year = {2005},
+ isbn = {0387285393},
+ publisher = {Springer-Verlag New York, Inc.},
+ address = {Secaucus, NJ, USA},
+}
+
+@article{liu01,
+    author = {Simon Liu and Mark Silverman},
+    title = {A Practical Guide to Biometric Security Technology},
+    journal ={IT Professional},
+    volume = {3},
+    issn = {1520-9202},
+    year = {2001},
+    pages = {27-32},
+    publisher = {IEEE Computer Society},
+    address = {Los Alamitos, CA, USA},
+}
diff --git a/related.tex b/related.tex
index 83ffb04..98f4a77 100644
--- a/related.tex
+++ b/related.tex
@@ -1,2 +1,34 @@
 \section{Related Work}
 \label{sec:related}
+
+The related work for this paper is divided into two main sections: using
+biometrics for identification and advances in skeleton mapping.
+
+\paragraph{Biometrics}
+A biometric is a distinguishable trait that can be measured and used for
+identification.  There are many different possible biometrics.  One way to view
+different biometrics are how intrusive they are.  More intrusive biometrics
+include fingerprints, irises, and DNA; less intrusive are faces, speech, and
+gait~\cite{phillips98}.  Generally, there is a tradeoff between the level of
+user cooperation required and the accuracy that can be
+attained~\cite{liu01,bio-survey}.
+
+Alternatively, biometrics can be divided into physiological and behavioral
+traits. Physiological traits include faces, fingerprints, and irises; speech
+and gait are behavioral.  Face and gait recognition are the most relevent
+biometrics for this paper as they both are unobtrusive and rely on image
+processing.  Gait recognition usually involves determining the outline of a
+person from an image~\cite{bio-survey}, but algorithms similar to gait
+recognition have been developed for range cameras as well~\cite{gomez:hgbu11}.
+Face recognition receives a lot of attention from the research
+community~\cite{face-survey}, also including at least one example incorporating
+a range camera~\cite{gordon91}.  Since behavioral traits typically are more
+characteristic as opposed to unique for identification beyond a certain
+scale~\cite{seven-issues}, we will compare the results of skeleton recognition
+to face recognition.
+
+
+
+Jain~\etal
+
+\paragraph{Skeleton mapping}
-- 
cgit v1.2.3-70-g09d2