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16 lines
842 B
16 lines
842 B
\begin{abstract}
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A low resolution infrared camera can use to collect the data of our daily
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activity, and protect privacy. However, pose detection on an extremely low
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resolution image will be a big challenge to deal with.
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Many researches show that Super-resolution may improve the accuracy of
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object detection on low resolution images.
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%% long-term care?
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In this work, we detect the turning over while sleeping with low-resolution
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thermal sensors. To improve the accuracy of detection, we fuse the data from multiple
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sensors and use SRCNN to enhance the resolution. We also propose a method to reduce the
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noise caused by the residual body temperature on bed after turn over while detect the
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pose and turning over. The accuracy of pose detection is 65\%, and the
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turning over detection has 50\% recall rate and 83\% precision.
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\end{abstract}
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