EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID
Martin Hofmann, Moritz Kaiser, Nico Lehment, Gerhard Rigoll
2011
Abstract
In this paper we present a system for detecting unusual events in smart home environments. A primary application of this is to prolong independent living for elderly people at their homes. We show how to effectively combine information from multiple heterogeneous sensors which are typically present in a smart home scenario. Data fusion is done in a 3D voxel occupancy grid. Graph Cuts are used to accurately reconstruct people in the scene. Additionally we present a joint multi object Viterbi tracking framework, which allows tracking of all people, and simultaneously detecting critical events such as fallen persons.
References
- Boykov, Y., Veksler, O., and Zabih, R. (2001). Fast approximate energy minimization via graph cuts. IEEE Trans. Pat. Analysis and Machine Intelligence, 23(11):1222- 1239.
- Cheung, G. K., Baker, S., Simon, C., and Kanade, T. (2003). Visual hull alignment and refinement across time: A 3D reconstruction algorithm combining shape-fromsilhouette with stereo. Comp. Vis. Pat. Rec.
- Cipolla, R. and Blake, A. (1992). Surface shape from the deformation of apparent contours. Int. J. Comput. Vision, 9(2):83-112.
- Diraco, G., Leone, A., and Siciliano, P. (2010). An active vision system for fall detection and posture recognition in elderly healthcare. In Design Automation & Test, pages 1536-1541.
- Fleuret, F., Berclaz, J., Lengagne, R., and Fua, P. (2007). Multi-camera people tracking with a probabilistic occupancy map. IEEE Trans. Pat. Analysis and Machine Intelligence.
- Fornay, G. D. (1973). The viterbi algorithm. Proceedings of the IEEE, 61(3):268-278.
- Foroughi, H., Rezvanian, A., and Paziraee, A. (2008). Robust fall detection using human shape and multiclass support vector machine. In Proc. Indian Conf. on Computer Vision, Graphics & Image Processing, pages 413-420.
- Kolmogorov, V. and Zabih, R. (2002). What energy functions can be minimized via graph cuts? In Proc. European Conf. on Computer Vision, pages 65-81.
- Martin, W. and Aggarwal, J. (1983). Volumetric descriptions of objects from multiple views. IEEE Trans. Pat. Analysis and Machine Intelligence, 5(2):150-158.
- Ntalampiras, S., Arsic, D., Störmer, A., Ganchev, T., Potamitis, I., and Fakotakis, N. (2009). PROMETHEUS database: A multi-modal corpus for research on modeling and interpreting human behavior. In Proc. Int. Conf. on Digital Signal Processing.
- Serra, J. (1983). Image Analysis and Mathematical Morphology. Academic Press, Inc., Orlando, FL, USA.
- Shoaib, M., Elbrandt, T., Dragon, R., and Ostermann, J. (2010). Altcare: Safe living for elderly people. In 4th Int. ICST Conf. on Pervasive Computing Technologies for Healthcare 2010, volume 0.
- Snow, D., Viola, P., and Zabih, R. (2000). Exact voxel occupancy with graph cuts. In IEEE Conf. on Computer Vision and Pattern Recognition, pages 345-352.
- Tsai, R. (1986). An efficient and accurate camera calibration technique for 3-D machine vision. In IEEE Conf. on Computer Vision and Pattern Recognition, pages 364-374.
- Zivkovic, Z. and van der Heijden, F. (2006). Efficient adaptive density estimation per image pixel for the task of background subtraction. Pattern Recogn. Lett., 27(7):773-780.
Paper Citation
in Harvard Style
Hofmann M., Kaiser M., Lehment N. and Rigoll G. (2011). EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 242-247. DOI: 10.5220/0003315402420247
in Bibtex Style
@conference{visapp11,
author={Martin Hofmann and Moritz Kaiser and Nico Lehment and Gerhard Rigoll},
title={EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={242-247},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003315402420247},
isbn={978-989-8425-47-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - EVENT DETECTION IN A SMART HOME ENVIRONMENT USING VITERBI FILTERING AND GRAPH CUTS IN A 3D VOXEL OCCUPANCY GRID
SN - 978-989-8425-47-8
AU - Hofmann M.
AU - Kaiser M.
AU - Lehment N.
AU - Rigoll G.
PY - 2011
SP - 242
EP - 247
DO - 10.5220/0003315402420247