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Range Image Processing for Real Time Hospital-Room Monitoring

  • Alessandro Mecocci
  • Francesco MicheliEmail author
  • Claudia Zoppetti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9475)

Abstract

In this paper we describe a robust and movable real-time system, based on range data and 2D image processing, to monitor hospital-rooms and to provide useful information that can be used to give early warnings in case of dangerous situations. The system auto-configures itself in real-time, no initial supervised setup is necessary, so is easy to displace it from room to room, according to the effective hospital needs. Night-and-day operations are granted even in presence of severe occlusions, by exploiting the 3D data given by a Kinect\(^\copyright \) sensor. High performance is obtained by a hierarchical approach that first detects the rough geometry of the scene. Thereafter, the system detects the other entities, like beds and people. The current implementation has been preliminarily tested at “Le Scotte” polyclinic hospital in Siena, and allows a 24 h coverage of up to three beds by a single Kinect\(^\copyright \) in a typical room.

Keywords

Support Vector Machine Point Cloud Floor Plane Fall Detection Bottom Profile 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Alessandro Mecocci
    • 1
  • Francesco Micheli
    • 1
    Email author
  • Claudia Zoppetti
    • 1
  1. 1.Department of Information Engineering and MathematicsUniversity of SienaSienaItaly

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