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authorJon Whiteaker <jbw@berkeley.edu>2012-03-01 14:29:06 -0800
committerJon Whiteaker <jbw@berkeley.edu>2012-03-01 14:29:55 -0800
commitff62de7b794b5cae8af37135579888c27785ff6b (patch)
tree6113e6829647a05ae2a5f7fa4204269bdb61ba5b /experimental.tex
parentc0d3d3e00c3990609fbb8f8a1444020080af8ebc (diff)
downloadkinect-ff62de7b794b5cae8af37135579888c27785ff6b.tar.gz
adding hallway pic
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@@ -23,12 +23,24 @@ in real-time without calibration. Given that the Kinect for Windows SDK is the
state-of-the-art, we use it to perform our data collection.
\subsection{Environment}
+We collect data using the Kinect SDK over a period of a week in a research
+laboratory setting. The Kinect is placed at the tee of a well traversed hallway.
+The view of the Kinect is seen in \fref{fig:hallway}, showing the color image,
+the depth image, and the fitted skeleton of a single frame.
\begin{itemize}
\item 1 week
\item 23 people
\end{itemize}
+\begin{figure}
+ \begin{center}
+ \includegraphics[width=0.99\textwidth]{graphics/hallway.png}
+ \end{center}
+ \caption{}
+ \label{fig:hallway}
+\end{figure}
+
\subsection{Data set}
The original dataset consists of the sequence of all the frames where