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Diffstat (limited to 'related.tex')
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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}. |