Chou J.-JCHI-SHENG SHIH2021-09-022021-09-022020https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092730748&doi=10.1109%2fRTCSA50079.2020.9203746&partnerID=40&md5=b4ff53f7d14b4b3525fe16b699b2f640https://scholars.lib.ntu.edu.tw/handle/123456789/581306A low resolution infrared camera can use to collect the data of our daily activity, and protect privacy. However, pose detection on an extremely low resolution image will be a big challenge to deal with. Many researches show that Super-resolution may improve the accuracy of object detection on low resolution images. In this work, we detect the turning over while sleeping with low-resolution thermal sensors. To improve the accuracy of detection, we fuse the data from multiple sensors and use SRCNN to enhance the resolution. We also propose a method to reduce the noise caused by the residual body temperature on bed after turn over while detect the pose and turning over. The accuracy of pose detection is 65%, and the turning over detection has 50% recall rate and 83% precision. ? 2020 IEEE.Embedded systems; Image enhancement; Object detection; Optical resolving power; Real time systems; Body temperature; Daily activity; Infra-red cameras; Low resolution images; Multiple sensors; Pose detection; Super resolution; Thermal sensors; Gesture recognitionconference paper10.1109/RTCSA50079.2020.92037462-s2.0-85092730748