diff options
Diffstat (limited to 'experimental.tex')
| -rw-r--r-- | experimental.tex | 21 |
1 files changed, 10 insertions, 11 deletions
diff --git a/experimental.tex b/experimental.tex index 388e628..be1fc16 100644 --- a/experimental.tex +++ b/experimental.tex @@ -32,7 +32,7 @@ frame. For each frame where a person is detected and a skeleton is fitted we collect the 3D coordinates of 20 body joints, and the color image recorded by the RGB camera. -\begin{figure} +\begin{figure}[t] \begin{center} \includegraphics[width=0.99\textwidth]{graphics/hallway.png} \end{center} @@ -71,12 +71,11 @@ Head-ShoulderCenter, ShoulderCenter-Shoulder, Shoulder-Elbow, Elbow-Wrist, ShoulderCenter-Spine, Spine-HipCenter, HipCenter-HipSide, HipSide-Knee, Knee-Ankle. Finally, any frame with a missing feature is filtered out. -Each detected skeleton also has an ID number which identifies which figure -it maps to from the figure detection stage. When there are consecutive number stays the -same across several frames, it means that the skeleton-fitting -algorithm was able to detect the skeleton in a contiguous way. This -allows us to define the concept of a \emph{run}: a sequence of frames -with the same skeleton ID. +Each detected skeleton also has an ID number which identifies the figure it +maps to from the figure detection stage. When there are consecutive frames with +the same ID, it means that the skeleton-fitting algorithm was able to detect +the skeleton in a contiguous way. This allows us to define the concept of a +\emph{run}: a sequence of frames with the same skeleton ID. \begin{table} \begin{center} @@ -120,7 +119,7 @@ number of runs available for the least present people, as seen in Table~\ref{tab:dataset}, which does not permit a proper training of the algorithm. -\begin{figure} +\begin{figure}[t] \begin{center} \includegraphics[width=0.80\textwidth]{graphics/10fold-naive.pdf} \end{center} @@ -151,7 +150,7 @@ subsample. Figure~\ref{fig:sequential} shows the prediction-recall curve when averaging the prediction rate of the 10 incremental experiments. -\begin{figure} +\begin{figure}[t] \begin{center} \includegraphics[width=0.80\textwidth]{graphics/online-sht.pdf} \end{center} @@ -195,7 +194,7 @@ classification and some of runs are dropped because it is not possible to recognize the person. Apart from that, the data set reduction is performed exactly as explained in Section~\ref{sec:experiment-design}. -\begin{figure} +\begin{figure}[t] \begin{center} \includegraphics[width=0.80\textwidth]{graphics/back.pdf} \end{center} @@ -244,7 +243,7 @@ Figure~\ref{fig:var} compares the Precision-Recall curve of Figure~\ref{fig:sequential} to the curve of the same experiment run on the newly obtained data set. -\begin{figure} +\begin{figure}[t] \begin{center} \includegraphics[width=0.80\textwidth]{graphics/var.pdf} \end{center} |