Update conclusion.

git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@76 5747cdd2-2146-426f-b2b0-0570f90b98ed

trunk/RTCSA_SS/05Conclusion.tex

@@ -1,9 +1,9 @@
 \section{Conclusion\label{sec:conclusion}}
 
-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 
-50\% recall rate and 83\% precision.
-
-
+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\%. 
+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\%.