pass on related work section

2 files changed, 50 insertions, 33 deletions

diff --git a/references.bib b/references.bib
index e90c173..0dc0d9e 100644
--- a/references.bib
+++ b/references.bib
@@ -120,33 +120,37 @@
 

 @misc{openni,

     key = {{OpenNI}},

-    title = {OpenNI},

+    author = {{PrimeSense} and {Willow Garage} and {Side-Kick} and {ASUS} and {AppSide}},

+    title = {{OpenNI}},

     howpublished = {\url{http://www.openni.org/}},

 }

 

 @misc{libfreenect,

     key = {{OpenKinect: libfreenect}},

-    title = {OpenKinect: libfreenect},

+    author = {{OpenKinect}},

+    title =  {libfreenect},

     howpublished = {\url{http://www.openkinect.org/}},

 }

 

 @misc{kinect-sdk,

     key = {{Kinect for Windows}},

-    title = {Kinect for Windows},

-    howpublished = {Microsoft Corp., Redmond, WA},

-    howpublished = {\url{http://www.openni.org/}},

+    title = {{Kinect for Windows}},

+    author = {{Microsoft Corp., Redmond, WA}},

+    howpublished = {\url{http://www.microsoft.com/en-us/kinectforwindows/}},

 }

 

 @misc{PrimeSense,

     key = {{PrimeSense}},

-    title = {PrimeSense: Natural Interaction},

+    author = {{PrimeSense}},

+    title =  {{Natural Interaction}},

     howpublished = {\url{http://www.primesense.com/}},

 }

 

 @misc{kinect,

     key = {{Kinect for Xbox 360}},

-    title = {Kinect for Xbox 360},

-    howpublished = {Microsoft Corp., Redmond, WA},

+    title = {{Kinect for Xbox 360}},

+    author = {Microsoft Corp., Redmond, WA},

+    howpublished = {\url{http://www.xbox.com/kinect/}},

 }

 

 @misc{comon,

@@ -210,14 +214,12 @@
 

 @inproceedings{plagemann:icra10,

   author = {C. Plagemann and V. Ganapathi and D. Koller and S. Thrun},

-  title = {Realtime Identification and Localization of Body Parts from

-                  Depth Images},

-  booktitle = {Proc. International Conferences on Robotics and

-                  Automation (ICRA 2010)},

+  title = {Realtime Identification and Localization of Body Parts from Depth Images},

+  booktitle = {Proc. International Conferences on Robotics and Automation (ICRA 2010)},

   year = 2010,

 }

 

-@article{leyvand:computer11,

+@article{kinect-identity,

  author = {Leyvand, Tommer and Meekhof, Casey and Wei, Yi-Chen and Sun, Jian and Guo, Baining},

  title = {Kinect Identity: Technology and Experience},

  journal = {Computer},

@@ -271,7 +273,7 @@
   month =        {October}

 }

 

-@article{face-com,

+@article{face.com,

   author    = {Yaniv Taigman and

                Lior Wolf},

   title     = {Leveraging Billions of Faces to Overcome Performance Barriers

@@ -345,7 +347,7 @@ pages = "331--342"
     address = {Los Alamitos, CA, USA},

 }

 

-@article{Boulgouris:2007:HGR:1231536.1231758,

+@article{gait-body1,

  author = {Boulgouris, Nikolaos V. and Chi, Zhiwei X.},

  title = {Human gait recognition based on matching of body components},

  journal = {Pattern Recogn.},

@@ -360,7 +362,7 @@ pages = "331--342"
  address = {New York, NY, USA},

 } 

 

-@inproceedings{Johnson:2001:MMG:646073.677462,

+@inproceedings{gait-body2,

  author = {Johnson, Amos Y. and Bobick, Aaron F.},

  title = {A Multi-view Method for Gait Recognition Using Static Body Parameters},

  booktitle = {Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication},

@@ -391,6 +393,23 @@ pages = "331--342"
   organization={IEEE}

 }

 

+@book{gait-survey,

+  title={Human identification based on gait},

+  author={Nixon, M.S. and Tan, T. and Chellappa, R.},

+  volume={4},

+  year={2006},

+  publisher={Springer-Verlag New York Inc}

+}

+

+@inproceedings{gait-survey2,

+  title={A survey of biometric recognition methods},

+  author={Delac, K. and Grgic, M.},

+  booktitle={Electronics in Marine, 2004. Proceedings Elmar 2004. 46th International Symposium},

+  pages={184--193},

+  year={2004},

+  organization={IEEE}

+}

+

 @book{ bishop06pattern,

   author = "Christopher Bishop",

   title = "Pattern Recognition and Machine Learning",

diff --git a/related.tex b/related.tex
index f7b9a1e..d804e87 100644
--- a/related.tex
+++ b/related.tex
@@ -25,19 +25,21 @@ representation of the silhouette as extracted from each image, while
 model-based techniques fit a 3-D model to the silhouette to better track
 motion~\cite{gait-survey}. Some model-based techniques use features of the
 generated model to aid in gait recognition, but they are severely limited by
-the difficulty in generating a 3-D model from a 2-D image~\cite{}.
-Furthermore, behavioral traits typically are more characteristic as opposed to
-unique, and are subject to change with time and based on the observed
-activity~\cite{seven-issues}.  
+the difficulty in generating a 3-D model from a 2-D
+image~\cite{gait-body1,gait-body2}.  Furthermore, behavioral traits typically
+are more characteristic as opposed to unique, and are subject to change with
+time and based on the observed activity~\cite{gait-survey2}.
 
 On the other hand, face recognition, as a physiological biometric, is a more
 static feature.  Face recognition can be broken down into three parts: face
 detection, feature extraction, and classification; these three parts are
-studied both individually and together~\cite{face-survey}.
+studied both individually and together~\cite{face-survey}.  The Xbox 360 uses
+face recognition with the Kinect as part of its user recognition algorithm, in
+addition to the height inferred from the Kinect~\cite{kinect-identity}.
 
 In this paper, we propose using skeleton measurements as a biometric separate
-from gait biometrics.  According to Jain~\etal{}~\cite{bio-survey}, a proper
-biometric has the following characteristics: \first \emph{universality},
+from face and gait biometrics.  According to Jain~\etal{}~\cite{bio-survey}, a
+proper biometric has the following characteristics: \first \emph{universality},
 everyone has it, \second \emph{uniqueness}, it should be different between any
 two people, \third \emph{permanence}, it does not vary with time, and \fourth
 \emph{collectability}, it is measurable. Universality, permanence, and
@@ -59,17 +61,13 @@ 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,leyvand:computer11}.
-Furthermore, OpenNI~\cite{openni} and Kinect SDK~\cite{kinect-sdk} are two
-commercial 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.
 
-%The
-%Xbox 360~\cite{} does use the height inferred from the Kinect as part of its
-%user recognition algorithm, albeit in addition to other attributes including
-%face recognition.
 
 %a person from an image to measure gait, but can also be measured from floor
 %sensors or wearable sensors~\cite{gait-survey}.