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A SKELETON FEATURES-BASED FALL DETECTION USING MICROSOFT KINECT V2 WITH ONE CLASS-CLASSIFIER OUTLIER REMOVAL

The real-time and robust fall detection is one of the key components of elderly people care and monitoring systems. Depth sensors, as they became more available, occupy an increasing place in event recognition systems. Some of them can directly produce a skeletal description of the human figure for...

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Main Authors: O. S. Seredin, A. V. Kopylov, S.-C. Huang, D. S. Rodionov
Formato: Artigo
Idioma:Inglês
Publicado em: Copernicus Publications 2019-05-01
Colecção:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Acesso em linha:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W12/189/2019/isprs-archives-XLII-2-W12-189-2019.pdf
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