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Erschienen in:

2015 | OriginalPaper | Buchkapitel

Range Image Processing for Real Time Hospital-Room Monitoring

verfasst von : Alessandro Mecocci, Francesco Micheli, Claudia Zoppetti

Erschienen in: Advances in Visual Computing

Verlag: Springer International Publishing

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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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Vorheriges Kapitel A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera

Nächstes Kapitel Real–Time 3-D Surface Reconstruction from Multiple Cameras

\(\overrightarrow{\theta }_{opt}\triangleq \underset{\mathbf {\theta }_{i} \in \varTheta }{\arg \max } \left\{ H_{map_{\overrightarrow{\theta }_{i}}} \otimes K \right\} \), 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.

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

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

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

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

Wolf, M., Alexander, B., Rivara, F.: The cost and frequency of hospitalization for fall related injuries in older adults. Am. J. Public Health 82, 1020–1023 (1992)CrossRef

Hennessy, A., Bell, A., Talbot-Stern, J.: Characteristics and outcomes of older patients presenting to the emergency department after a fall: a retrospective analysis. Med. J. Aust. 173, 176 (2000)

Finkelstein, E., Miller, T., Stevens, J., Corso, P.: The costs of fatal and nonfatal falls among older adults. Inj. Prev. 12, 290 (2006)CrossRef

Skubic, M., Stone, E.: Silhouette classification using pixel and voxel features for improved elder monitoring in dynamic environments. In: Workshop on Smart Environments to Enhance Health Care, Seattle, USA (2011)

Li, M., Popescu, M., Stone, E., Skubic, M., Banerjee, T., Rantz, M., Scott, S.: Monitoring hospital rooms for safety using depth images. In: AI for Gerontechnology, Arlington, Virginia (2012)

Fosty, B., Konig, A., Romdhane, R., Thonnat, M., Crispim Junior, C., Bathrinarayana, V., Bremond, F.: Evaluation of a monitoring system for event recognition of older people. In: International Conference on Advanced Video and Signal-Based Surveillance, pp. 4321–4326 (2013)

Gasperini, S., Cippitelli, E.: A depth-based fall detecion system using a kinect sensor. Sensor 14, 2756–2775 (2014)CrossRef

Brumitt, B., Toyama, K., Krumm, J., Meyers, B.: Wallflower: principles and practice of background maintenance. In: Proceedings of the Seventh IEEE International Conference on Computer Vision, vol. 1, pp. 255–261 (1999)

Grimson, W., Stauffer, C.: Learning patterns of activity using real time tracking. IEEE Trans. Pattern Anal. Mach. Intell. 22, 747–757 (2000)CrossRef

10.

Ganesan, D., Williams, A., Hanson, A.: Aging in place: fall detection and localization in a distributed smart camera network. In: Proceedings of the 15th International Conference on Multimedia, pp. 892–901 (2007)

11.

Kawatsu, C., Li, J., Chung, C.J.: Development of a fall detection system with microsoft kinect. In: Kim, J.-H., Matson, E., Myung, H., Xu, P. (eds.) Robot Intelligence Technology and Applications. AISC, vol. 208, pp. 623–630. Springer, Heidelberg (2013)

12.

Zhang, C., Tian, Y.: Rgb-d camera-based daily living activity recognition. J. Comput. Vis. Image Process. 2, 12 (2012)CrossRef

13.

Nite. (http://www.openni.org/files/nite/)

14.

Microsoft. (http://www.microsoft.com/en-us/kinectforwindows/)

15.

OpenNI. (http://www.openni.ru/index.html)

16.

Rusu, R., Cousins, S.: 3d is here: point cloud library. In: ICRA (2011)

17.

Lingemann, K., Borrmann, D., Elseberg, J., Nuchter, A.: The 3D hough transform for plane detection in point clouds - a review and a new accumulator design. 3D Res. 2, 1–13 (2011)

18.

Guan, L., Yu, T., Tu, P., Lim, S.: Simultaneous image segmentation and 3D plane fitting for rgb-d sensors. an iterative framework. In: IEEE Computer Vision and Pattern Recognition Workshop (CVPRW) (2012)

19.

Cowley, A., Taylor, C.: Segmentation and analysis of rgb-d data. In: RSS 2011 Workshop on RGB-D Cameras (2011)

20.

Holz, D., Holzer, S., Rusu, R.B., Behnke, S.: Real-time plane segmentation using RGB-D cameras. In: Röfer, T., Mayer, N.M., Savage, J., Saranlı, U. (eds.) RoboCup 2011. LNCS, vol. 7416, pp. 306–317. Springer, Heidelberg (2012) CrossRef

21.

Triebel, R., Burgard, W.: Using hierarchical EM to extract planes from 3d range scans. In: Proceedings of the IEEE International Conference on Robotics & Automation (ICRA) (2005)

22.

Harville, M.: Stereo person tracking with adaptive plan-view statistical templates. In: ECCV Workshop on Statistical Methods in Video Processing (SMVP) (2002)

Titel: Range Image Processing for Real Time Hospital-Room Monitoring
verfasst von: Alessandro Mecocci
Francesco Micheli
Claudia Zoppetti
Verlag: Springer International Publishing
Buch: Advances in Visual Computing
Print ISBN: 978-3-319-27862-9

Electronic ISBN: 978-3-319-27863-6

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-27863-6_8

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