From 73f3f449cf4d17d8d0332217ee649d72bcde7ac3 Mon Sep 17 00:00:00 2001 From: Hobe Date: Wed, 3 Jun 2020 07:11:01 +0000 Subject: [PATCH] git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@66 5747cdd2-2146-426f-b2b0-0570f90b98ed --- trunk/RTCSA_SS/04Evaluation.tex | 5 +++-- trunk/RTCSA_SS/05Conclusion.tex | 4 ++-- 2 files changed, 5 insertions(+), 4 deletions(-) diff --git a/trunk/RTCSA_SS/04Evaluation.tex b/trunk/RTCSA_SS/04Evaluation.tex index d0d186a..f6b2983 100644 --- a/trunk/RTCSA_SS/04Evaluation.tex +++ b/trunk/RTCSA_SS/04Evaluation.tex @@ -23,8 +23,9 @@ Lepton 3, and align them at the same timestamps. Figure~\ref{fig:resolution_comp \label{fig:resolution_compare} \end{figure} -For training the pose recognization model, we collect 200 images of lay on back and 400 images +For training the pose recognition model, we collect 200 images of lay on back and 400 images of lay on right or left side. The result shows that the accuracy of single frame detection can be improved about 5\% by SRCNN. -The accuracy of pose detection is about 67\% and turning over datection is 56\%. +We let a person lay on bed and change his pose every minutes. The pose is repeating +lay on back, lay on left, lay on back and lay on right. diff --git a/trunk/RTCSA_SS/05Conclusion.tex b/trunk/RTCSA_SS/05Conclusion.tex index 2b81dc3..6bf7371 100644 --- a/trunk/RTCSA_SS/05Conclusion.tex +++ b/trunk/RTCSA_SS/05Conclusion.tex @@ -3,7 +3,7 @@ In this paper, we use the SRCNN to improve the resolution of thermal sensor, and detect the pose of each frame. The result shows that Super-resolution can slightly improve the accuracy of pose -detection. We develop a method to detect the turning over. It has about 67\% accuracy -even when the accuracy of pose detection is only ???\%. +detection. We develop a method to detect the turning over. It has about +50\% recall rate and 83\% precision.