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								\section{Conclusion\label{sec:conclusion}}
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								In this paper, we propose a data fusing and enhancement method to fuse data from multiple low-resolution
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								thermal sensors and use the SRCNN to enhance resolution, the result shows that
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								it can improve the accuracy of single frame pose detection by 5\%. 
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								We also propose a turning over detection method using multiple frames to reduce the noise
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								and considering the trend of pose change to deal with the residual heat. The result shows
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								that The accuracy of pose detection is 65\%, and the recall rate and precision of turning over detection
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								is 50\% and 83\%.
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