diff --git a/trunk/RTCSA_SS/02Background.tex b/trunk/RTCSA_SS/02Background.tex index 5995b50..3814547 100644 --- a/trunk/RTCSA_SS/02Background.tex +++ b/trunk/RTCSA_SS/02Background.tex @@ -9,8 +9,8 @@ we are using in this work. C. Dong et al.~\cite{ChaoDong16} proposed a deep learning method for single image super-resolution (SR). Their method learns how to directly map the low-resolution -image to high-resolution image. They show that the traditional sparse coding -based SR methods can be reformulated into a deep convolutional neural network. +image to high-resolution image. They show that the traditional +SR methods can be reformulated into a deep convolutional neural network. SRCNN consists three operations. The first layer of SRCNN model extracts the patches from low-resolution image. The second layer maps the patches from low-resolution to high-resolution. The @@ -27,10 +27,8 @@ patches. \subsection{Thermal cameras} In this work, we use two different resolution thermal cameras to play the role -of low-resolution and high-resolution cameras. For low-resolution camera, we use -Grid-EYE thermal camera. Grid-EYE is a thermal camera that can output -$8 \times 8$ pixels thermal data with $2.5^\circ C$ accuracy and $0.25^\circ C$ -resolution at $10$ fps. For the high-resolution one, we use Lepton 3. The +of low-resolution and high-resolution cameras. We use +Grid-EYE thermal camera.and Lepton 3 as our two different inputs. The specification of them are shown in Table~\ref{table:specificationofdevices}. @@ -53,10 +51,9 @@ specification of them are shown in Table~\ref{table:specificationofdevices}. \hline Bits per pixel & 12 & 14\\ \hline - Data Rate & 7.68 kbps & 2.34 mbps\\ - \hline \end{tabular} - \caption{Specification of Grid-EYE~\cite{grideye_datasheet} and Lepton 3~\cite{lepton_datasheet}.} + \caption{Specification of Grid-EYE and Lepton 3.} + %\caption{Specification of Grid-EYE~\cite{grideye_datasheet} and Lepton 3~\cite{lepton_datasheet}.} \label{table:specificationofdevices} \end{table} diff --git a/trunk/RTCSA_SS/03Design.tex b/trunk/RTCSA_SS/03Design.tex index 63d42db..ab53bd8 100644 --- a/trunk/RTCSA_SS/03Design.tex +++ b/trunk/RTCSA_SS/03Design.tex @@ -58,8 +58,8 @@ lower bound, and regrad it as the trend of the pose changing. Figure~\ref{fig:tr shows the filitered data and these lines. We divide every data into 10 second time windows. If the middle line of the time window -is at the top one fifth, or the trend is going up, it is a lay on back. If it is at the -bottom one fifth, or the trend is going down, it is a lay on side. If there are three +is at the top one fifth, or the trend is going up, it is a lay on back. +Otherwise, it is a lay on side. If there are three continuously same poses, and different from the last turning over, it will be count as another turning over. @@ -70,7 +70,7 @@ another turning over. \caption{Residual heat on bed.} \label{fig:residual_heat} \endminipage - \minipage{0.6\columnwidth} + \minipage{0.55\columnwidth} \includegraphics[width=\linewidth]{figures/MinMax_2.pdf} \caption{Trend of pose.} \label{fig:trend} diff --git a/trunk/RTCSA_SS/05Conclusion.tex b/trunk/RTCSA_SS/05Conclusion.tex index 2ac897d..9997cfb 100644 --- a/trunk/RTCSA_SS/05Conclusion.tex +++ b/trunk/RTCSA_SS/05Conclusion.tex @@ -2,8 +2,6 @@ In this paper, we propose a data fusing and enhancement method to fuse data from multiple low-resolution thermal sensors and use the SRCNN to enhance resolution, the result shows that -it can improve the accuracy of single frame pose detection by 5\%. +it can slightly improve the accuracy of single frame pose detection. We also propose a turning over detection method using multiple frames to reduce the noise -and considering the trend of pose change to deal with the residual heat. The result shows -that The accuracy of pose detection is 65\%, and the recall rate and precision of turning over detection -is 50\% and 83\%. +and considering the trend of pose change to deal with the residual heat. diff --git a/trunk/RTCSA_SS/Main.tex b/trunk/RTCSA_SS/Main.tex index 5a31ca2..ecc2b6b 100644 --- a/trunk/RTCSA_SS/Main.tex +++ b/trunk/RTCSA_SS/Main.tex @@ -78,7 +78,7 @@ %\input{MySetting} \begin{document} -\title{Turning Over Detecting Using Low-Resolution Thermal Sensor} +\title{Turning Over Detecting Using Super-Resolution Thermal Image} \author{Jyun-Jhe Chou} %\author{ diff --git a/trunk/RTCSA_SS/Revisions/RTCSA20_SS_20200608_2.pdf b/trunk/RTCSA_SS/Revisions/RTCSA20_SS_20200608_2.pdf new file mode 100644 index 0000000..acdcd2e Binary files /dev/null and b/trunk/RTCSA_SS/Revisions/RTCSA20_SS_20200608_2.pdf differ