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1 files changed, 14 insertions, 8 deletions
diff --git a/experimental.tex b/experimental.tex
index 127cd78..dfd4916 100644
--- a/experimental.tex
+++ b/experimental.tex
@@ -32,16 +32,16 @@ state-of-the-art, we use it to perform our data collection.
\subsection{Data set}
The original dataset consists of the sequence of all the frames where
-a skeleton was detected by the Microsoft SDK. For each frames the
+a skeleton was detected by the Kinect SDK. For each frames the
following data is available:
\begin{itemize}
\item the 3D coordinates of 20 body joints
-\item a picture recored by the video camera
+\item a color picture recorded by the video camera
\end{itemize}
For some of frames, one or several joints are occluded by another part
of the body. In those cases, the coordinates of these joints are
either absent from the frame or present but tagged as \emph{Inferred}
-by the Microsoft SDK. It means that even though the joint is not
+by the Kinect SDK. It means that even though the joint is not
present on the frame, the skeleton-fitting algorithm is able to guess
its location.
@@ -64,17 +64,17 @@ Several reductions are then applied to the data set to extract
computed. These are distances between two contiguous joints in the
human body. If one of the two joints of a body part is not present
or inferred in a frame, the corresponding body part is reported as
- absent for that frame.
+ absent for the frame.
\item the number of features is then reduced to 9 by using the
vertical symmetry of the human body: if two body parts are symmetric
about the vertical axis, we bundle them into one feature by
averaging their lengths. If only one of them is present, we take the
value of its counterpart. If none of them are present, the feature
- is reported as missing for this frame. The resulting nine features
+ is reported as missing for the frame. The resulting nine features
are: Head-ShoulderCenter, ShoulderCenter-Shoulder, Shoulder-Elbow,
Elbow-Wrist, ShoulderCenter-Spine, Spine-HipCenter,
HipCenter-HipSide, HipSide-Knee, Knee-Ankle.
-\item finally, all the frames where one of the 9 features is missing
+\item finally, all the frames where any of the 9 features is missing
are filtered out.
\end{itemize}
@@ -82,9 +82,15 @@ Table \ref{tab:dataset} summarizes some statistics about the resulting
dataset.
\begin{table}
-\begin{tabular}{cc}
-
+\begin{center}
+\begin{tabular}{l|r||l|l|l}
+Number of people & 25 & $k\leq 5$ & $5\leq k\leq 20$ & $k\geq 20$\\
+\hline
+Number of frames & 15945 & 1211 & 561 & 291 \\
+\hline
+Number of runs & 244 & \\
\end{tabular}
+\end{center}
\caption{}
\label{tab:dataset}
\end{table}