Detecting falls at homes using a network of low-resolution cameras

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

Volumn , Issue , 2010, Pages

  Zambanini, Sebastian ^a   MacBajdik, Jana ^a   Kampel, Martin ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFORT; CONFIDENCE VALUES; FALL DETECTION; FALL DETECTORS; FRAME RATE; HUMAN POSTURES; MULTIPLE CAMERAS; SMART-HOME SYSTEM; SPATIAL RESOLUTION; TEST SEQUENCE;

CAMERAS; DETECTORS; FUZZY LOGIC; SEMANTICS;

INFORMATION TECHNOLOGY;

EID: 79951597570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2010.5687729     Document Type: Conference Paper

References (16)

1. The Life of Women and Men in Europe: A Statistical Portrait. Euroslat, 2008 edition, 2008.
2. D. Wild, U.S. Nayak, and B. Isaacs. How dangerous are falls in old people at home? Br Med J, 282(6260):266-268, 1981. (Pubitemid 11188541)
3. R. Cucchiara, C. Grana, A. Prati, and R. Vezzani. Probabilistic posture classification for human-behavior analysis. SMC-A, 35(1):42-54,2005. (Pubitemid 40085385)
4. D. Anderson, J.M. Keller, M. Skubic, X. Chen, and Z. He. Recognizing falls from silhouettes. In Proc. of EMBS, pp. 6388-6391, 2006. (Pubitemid 46521383)
5. J. Tao, M. Turjo, M.F. Wong, M. Wang, and YP. Tan. Fall incidents detection for intelligent video surveillance. In Proc. of ICICS, pp. 1590-1594, 2005. (Pubitemid 46562301)
6. N. Thome, S. Miguet, and S. Ambellouis. A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach. IEEE TCSVT, 18(11): 1522-1532, 2008.
7. C. Rougier, J. Meunier, A. St-Amaud, and J. Rousseau. Monocular 3D head tracking to detect falls of elderly people. In Proc. of EMBS, pp. 6384-6387, 2006. (Pubitemid 46521382)
8. C.W. Lin, Z.H. Ling, Y.C. Chang, and C.J. Kuo. Compressed-domain Fall Incident Detection for Intelligent Homecare. VLSISP, 49(3):393-408,2007. (Pubitemid 47613035)
9. C. Huang, E. Chen, and P. Chung. Fall detection using modular neural networks with back-projected optical flow. BME, 19(6):415-424,2007. (Pubitemid 351917608)
10. D. Anderson, R.H. Luke, J.M. Keller, M. Skubic, M. Rantz, and M. Aud. Linguistic summarization of video for fall detection using voxel person and fuzzy logic. CVIU, 113(1):80-89, 2009.
11. L.A. Zadeh. Fuzzy sets. Information and control, 8(3):338-353, 1965.
12. M. Piccardi. Background subtraction techniques: a review. Proc. of IEEE SMC, pp. 3099-3104, 2004. (Pubitemid 40408308)
13. C.R. Dyer. Volumetric scene reconstruction from multiple views. Foundations of Image Understanding, pp. 469-489, 2001.
14. N. Noury, A. Fleury, P. Rumeau, AK Bourke, GO Laighin, V. Rialle, and JE Lundy. Fall detection-Principles and methods. In Proc. Of EMBS, pp. 1663-1666, 2007.
15. R. Poppe. Vision-based human motion analysis: An overview. CVIU, 108(1-2):4-18,2007. (Pubitemid 47333391)
16. H. Nait-Charif and S.J. McKenna. Activity summarisation and fall detection in a supportive home environment. In Proc. of ICPR, volume 4, pp. 323-326, 2004.