Cite

N. Thome, S. Miguet, and S. Ambellous, “A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach,” IEEE Trans. Circuits and Systems for Video Technology, vol. 18, no. 11, 2008, pp. 1522-1532.10.1109/TCSVT.2008.2005606 Search in Google Scholar

L. C. D. Silva, “Audiovisual Sensing Of Human Movements For Home-Care And Security In A Smart Environment,” International Journal on Smart Sensing and Intelligent Systems, vol. 1, no 1, 2008, pp. 220-245.10.21307/ijssis-2017-288 Search in Google Scholar

H. Foroughi, A. Naseri, A. Saberi, and H. S. Yazdi, “An eigenspace-based approach for elderly fall detection using Integrated Time Motion Image and Neural Network,” Proc. 9th Int’l Conf. Signal Processing (ICSP 2008), IEEE Press, 2008, pp. 1499-1503.10.1109/ICOSP.2008.4697417 Search in Google Scholar

W. Chia-Chi, C. Chin-Yen, L. Po-Yen, C. Yi-Chieh, I. T. Kuo, H. Chih-Ning, and C. ChiaTai, “Development of a Fall Detecting System for the Elderly Residents,” Proc. 2nd Int’l Conf. Bioinformatics and Biomedical Engineering (ICBBE 2008), 2008. IEEE Press, 2008, pp. 13591362. Search in Google Scholar

C. Sminchisescu and B. Triggs, “Estimating articulated human motion with covariance scaled sampling,” IJRR, vol. 22, no. 6, pp. 371-391, Jun. 2003.10.1177/0278364903022006003 Search in Google Scholar

G. Mori, “Recovering 3D human body configurations using shape contexts,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 7, pp. 1052-1062, Jul. 2006. Search in Google Scholar

P. F. Felzenszwalb and D. P. Huttenlocher, “Pictorial structures for object recognition,” Int. J. Comput. Vis., vol. 61, no. 1, pp. 55-79, 2005.10.1023/B:VISI.0000042934.15159.49 Search in Google Scholar

I. Haritaoglu, D. Harwood, and L. Davis, “W4: Real-time surveillance of people and their activities,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 8, pp. 809-830, Aug. 2000.10.1109/34.868683 Search in Google Scholar

H. Zhong, J. Shi, and M. Visontai, “Detecting unusual activities in video,” Comput. Vis. Pattern Recognit., 2004. [6] J. W. Davis and A. F. Bobick, “The representation and recognition of action using temporal templates,” Comput. Vis. Pattern Recognit., 1997. Search in Google Scholar

L. R. Rabiner, “A tutorial on hidden Markov models and selected applications in speech recognition,” Proc. IEEE, vol. 77, pp. 257-286, 1989.10.1109/5.18626 Search in Google Scholar

N. M. Oliver, B. Rosario, and A. Pentland, “A bayesian computer vision system for modeling human interactions,” Pattern Anal. Mach. Intell., pp. 831-843, 2000.10.1109/34.868684 Search in Google Scholar

R. Cucchiara, H. Rita, A. Prati, O. Andrea, R. Vezzani, and C. Roberto, “A multi-camera vision system for fall detection and alarm generation,” Expert Syst., vol. 24, no. 5, pp. 334-345, Nov. 2007.10.1111/j.1468-0394.2007.00438.x Search in Google Scholar

C. Stauffer and W. Grimson, “Learning patterns of activity using realime tracking,” Pattern Anal. Mach. Intell., 2000.10.1109/34.868677 Search in Google Scholar

N. Thome and S. Miguet, “A robust appearance model for tracking human motions,” AVSS, pp. 528-533, 2005. Search in Google Scholar

M. Kangas, A. Konttila, I. Winblad, and T. Jamsa, “Determination of simple thresholds for accelerometry-based parameters for fall detection,” Proc. 29th Annual Int’l Conf. Engineering in Medicine and Biology Society (EMBS 2007), IEEE CS Press, 2007, pp. 1367-1370.10.1109/IEMBS.2007.435255218002218 Search in Google Scholar

D. M. Karantonis, M. R. Narayanan, M. Mathie, N. H. Lovell, and B. G. Celler, “Implementation of a real-time elderly movement classifier using a triaxial accelerometer for ambulatory monitoring,” IEEE Trans. Information Technology in Biomedicine, vol. 10, no. 1, 2006, pp. 156-167.10.1109/TITB.2005.85686416445260 Search in Google Scholar

J. Y. Lee and K. Ya, “Multi-Target, Multi-Sensor Tracking Based On Quality-Of-Information And Formal Bayesian Frameworks,” International Journal on Smart Sensing and Intelligent Systems, vol. 1, no 4, 2008, pp. 842-857.10.21307/ijssis-2017-324 Search in Google Scholar

Peter Wide, “Human-Based Sensing – Sensor Systems to Complement Human Perception,” International Journal on Smart Sensing and Intelligent Systems, vol. 1, no 1, 2008, pp. 57-69.10.21307/ijssis-2017-278 Search in Google Scholar

eISSN:
1178-5608
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Engineering, Introductions and Overviews, other