|
\section{Conclusion\label{sec:conclusion}}
|
|
|
|
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\%.
|