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Range Image Processing for Real Time Hospital-Room Monitoring

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Advances in Visual Computing (ISVC 2015)

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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.

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Notes

  1. 1.

    \(\overrightarrow{\theta }_{opt}\triangleq \underset{\mathbf {\theta }_{i} \in \varTheta }{\arg \max } \left\{ H_{map_{\overrightarrow{\theta }_{i}}} \otimes K \right\} \), where \(H_{map_{\overrightarrow{\theta _{i}}}}\) is the original image rotated and translated by \(\overrightarrow{\theta }_{i}\) and \(\varTheta \) is the range of all admissible rotations and translations.

  2. 2.

    \(a_{thick}\) is expressed in pixel and in our set up it is fixed a value equivalent to 0.05 m.

  3. 3.

    Fixed at 90 % in our experiments. Therefore, \(\psi _{T}\left[ j\right] = P_{middle}^{90\,\%}(j)\).

  4. 4.

    \(I_{k}^{binary}\left( i,j\right) = B_{image_{k}}\left( i,j\right) > \psi _{B}\left[ j\right] \).

  5. 5.

    In this way it is easy to see the exact position in the depth view since the object appears like a black stain.

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Correspondence to Francesco Micheli .

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Mecocci, A., Micheli, F., Zoppetti, C. (2015). Range Image Processing for Real Time Hospital-Room Monitoring. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham. https://doi.org/10.1007/978-3-319-27863-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-27863-6_8

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