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Multi-camera, Multi-person, and Real-time Fall Detection using Long Short Term Memory

Christoph Palm; Thomas Deserno; Heinz Handels; Andreas Maier; Klaus Maier-Hein; Thomas Tolxdorff; Christian Heinrich; Samad Koita; Mohammad Taufeeque; Nicolai Spicher
In: Bildverarbeitung für die Medizin 2021proceedings, German Workshop on Medical Image Computing, Regensburg, March 7-9, 2021. Workshop Bildverarbeitung für die Medizin (BVM-2021), Pages 124-124, Springer, 2021.


Falls occurring at home are a high risk for elderly living alone. Several sensor-based methods for detecting falls exist and – in majority – use wearables or ambient sensors. Video-based fall detection is emerging. However, the restricted view of a single camera, distinguishing and tracking of persons, as well as high false-positive rates pose limitations.

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