A novel video sensor based fall detection of the elderly using double-difference image and temporal templates

Sensor Letters

Volumn 6, Issue 2, 2008, Pages 352-357

  Lee, Young Sook ^a   Chung, Wan Young ^a  

^a Dongseo University   (South Korea)

Author keywords

Fall detection; Motton analysis; Object detection; Surveillance system; Temporal templates

Indexed keywords

CAMERAS; HEALTH CARE; RELIABILITY; SECURITY SYSTEMS; VIDEO RECORDING;

FALL DETECTION; MOTTON ANALYSIS; OBJECT DETECTION; SURVEILLANCE SYSTEM; TEMPORAL TEMPLATES;

SENSORS;

EID: 58049198141     PISSN: 1546198X     EISSN: None     Source Type: Journal    
DOI: 10.1166/sl.2008.043     Document Type: Article

References (10)

1. A. Salva, I. Bolibar, G. Pera, and C. Arias, Med. Clin. (Barc) 122, 172 (2004).
2. E. B. Hitcho, M. J. Krauss, S. Birge, W. C. Dunagan, I. Fischer, S. Johnson, P. A. Nast, E. Costantinou, and V. J. Fraser, Journal of General Internal Medicine 19, 732 (2004).
3. K. L. Ash, P. Macleod, and L. Clark, J. Gerontol. Nurs. 24, 7 ( 1998).
4. S. Luo and Q. Hu, IEEE International Workshop on Biomedical Circuits & Systems (2004), pp. S2.1_5-S2.1_8.
5. H. Nait-Charif and S. Mckenna, International Conference on Pattern Recognition (2004), pp. 323-326.
6. A. F. Bobick and J. W. Davis, IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 257 (2001).
7. N. Thome and S. Miguet, 9th International Conference on Control, Automation, Robotics and Vision (2006), pp. 1-8.
8. A. Sixsmith and N. Johnson, IEEE Pervasive Computing 3, 42 ( 2004).
9. I. Pitas, Digital Image Processing Algorithms and Applications, Wiley, New York (2000), Chap. 6, pp. 300-303.
10. S. Siegle and N. J. Castellan, Jr., Nonparametric Statistics for the Behavioral Sciences, McGraw-Hill, New York (1988), Vol. 2.