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In this paper, we propose an indoor action detection system which can automatically keep the log of users' activities of daily life since each activity generally consists of a number of actions. The hardware setting here adopts top-view depth cameras which makes our system less privacy sensitive and less annoying to the users, too. We regard the series of images of an action as a set of key-poses...
In this paper, a novel feature for activity recognition from vertical top-view depth image sequences is firstly proposed. Most of previous works are focusing mainly on the side-view depth or color image sequences, which unfortunately may encounter occlusion problems. Therefore, top-view camera setting is adopted in our research. Based on the idea of computed tomography (CT) from medical imaging, the...
This paper proposes a real-time indoor surveillance system which installs multiple depth cameras from vertical top-view to track humans. This system leads to a novel framework to solve the traditional challenge of surveillance through tracking of multiple persons, such as severe occlusion, similar appearance, illumination changes, and outline deformation. To cover the entire space of indoor surveillance...
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