Jian-Chiuan Hou, Weimin Xu, Yuanyuan Chu, Chih-Lin Hu, Ying-Hong Chen, Shi Chen, Lin Hui
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We propose a fall detection mechanism based on multi-camera cooperation in home space. Cameras capture image-based falling events, and self-organize a group using deep reinforcement learning. Neighbor cameras exchange sensing data and statuses in local network proximity. With information sharing in a group, cameras can improve the accuracy of decision making on falling events and cope with the limited fields of view against physical deployment of cameras in residential areas.
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