diff options
| -rw-r--r-- | intro.tex | 31 | ||||
| -rw-r--r-- | kinect.tex | 19 | ||||
| -rw-r--r-- | references.bib (renamed from kinect.bib) | 53 |
3 files changed, 84 insertions, 19 deletions
@@ -1,2 +1,33 @@ \section{Introduction} \label{sec:intro} + +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 +skeletal measurements as a new physiological biometric for recognition. + +In recent years, advances in range cameras have given us access to increasingly +accurate real-time depth imaging. Furthermore, the low-cost and widely +available Kinect~\cite{kinect} has brought range imaging to the masses. In +parallel, the automatic detection of body parts from depth images has led to +real-time skeleton mapping. As the resolution and accuracy of range cameras +improve, so will the accuracy and precision of skeleton mapping algorithms. + +In this paper we show that skeleton mapping is accurate and unique enough in +individuals to be used for person recognition. First, we show that ground +truth skeleton measurements can uniquely identify a person. Second, we show +how the accuracy of skeleton recognition decreases as simulated error +increases. Third, we collect skeleton data with a Kinect in an uncontrolled +setting and we apply preprocessing and classification algorithms to this +dataset. We evaluate the performance of skeleton recognition with varying +group size and compare it to face recognition. + +Much of the prior work in person recognition focuses on data gathered from +other sensors, such as face recognition with color cameras and voice +recognition with microphones. In the realm of depth imaging, most of the work +surrounds behavioral recognition, continuing work in gait recognition. The +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. + @@ -47,23 +47,6 @@ \maketitle -%\title{Twenty Questions} -% -%\author{ -% \hspace{-1em} -% \begin{minipage}{\textwidth} -% \setlength{\aulen}{0.24\linewidth} -% \centering -% \auboxs{\aulen}{Jon Whiteaker\fnsym{tc}} -% \auboxs{\aulen}{Branislav Kveton\fnsym{tc}} -% \\[0.5\baselineskip] -% \affaddr -% \setlength{\aulen}{0.49\linewidth} -% \affbox{\aulen}{\fnsym{tc}Technicolor}{<firstname>.<lastname>@technicolor.com} -% \end{minipage} -%} -% -%\maketitle % Use the following at camera-ready time to suppress page numbers. % Comment it out when you first submit the paper for review. @@ -80,7 +63,7 @@ { \bibliographystyle{splncs} -\bibliography{kinect} +\bibliography{references} } %Features\endnote{Remember to use endnotes, not footnotes!} galore, plethora of promises.\\ diff --git a/kinect.bib b/references.bib index a3042f0..5cc5942 100644 --- a/kinect.bib +++ b/references.bib @@ -119,13 +119,18 @@ +@misc{kinect,
+ title = {Kinect for Xbox 360},
+ institution = {Microsoft Corp.}
+ location = {Redmond, WA},
+}
+
@misc{comon,
author = {KyoungSoo Park and Vivek Pai},
title = {CoMon: A Monitoring Infrastructure for PlanetLab},
howpublished = {\url{http://comon.cs.princeton.edu/}},
}
-
@techreport{eden06wp,
title = {Next-Generation Residential Gateways},
author = {Eric Eden},
@@ -218,3 +223,49 @@ year={2011},
pages={1297--1304}
}
+
+@inproceedings{gomez:hgbu11,
+ author = {Gomez-Caballero, Felipe and Shinozaki, Takahiro and Furui, Sadaoki and Shinoda, Koichi},
+ title = {Person authentication using 3D human motion},
+ booktitle = {Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding},
+ series = {J-HGBU '11},
+ year = {2011},
+ location = {Scottsdale, Arizona, USA},
+ pages = {35--40},
+ numpages = {6},
+ publisher = {ACM},
+ address = {New York, NY, USA},
+ keywords = {GMM, behavioral biometrics, person authentication, time-of-flight camera.},
+}
+
+@TechReport{lfw,
+ author = {Gary B. Huang and Manu Ramesh and Tamara Berg and
+ Erik Learned-Miller},
+ title = {Labeled Faces in the Wild: A Database for Studying
+ Face Recognition in Unconstrained Environments},
+ institution = {University of Massachusetts, Amherst},
+ year = 2007,
+ number = {07-49},
+ month = {October}
+}
+
+@article{face.com,
+ author = {Yaniv Taigman and
+ Lior Wolf},
+ title = {Leveraging Billions of Faces to Overcome Performance Barriers
+ in Unconstrained Face Recognition},
+ journal = {CoRR},
+ volume = {abs/1108.1122},
+ year = {2011},
+}
+
+@article{eigenfaces,
+ title={Eigenfaces for recognition},
+ volume={3},
+ number={1},
+ journal={Journal of Cognitive Neuroscience},
+ publisher={MIT Press},
+ author={Turk, M and Pentland, A},
+ year={1991},
+ pages={71--86}
+}
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