Abnormal human activity recognition system based on R-transform and kernel discriminant technique for elderly home care

IEEE Transactions on Consumer Electronics

Volumn 57, Issue 4, 2011, Pages 1843-1850

  Khan, Zafar A ^a   Sohn, Won ^a  

^a Kyung Hee University   (South Korea)

Author keywords

abnormal human activity recognition; feature extraction; kernel discriminant analysis; R transform

Indexed keywords

BINARY SILHOUETTES; CHEST PAIN; DAILY LIFE ACTIVITIES; ELDERLY CARE; ELDERLY PEOPLE; HOME CARE; HUMAN ACTIVITY RECOGNITION; HUMAN ACTIVITY RECOGNITION SYSTEMS; KERNEL DISCRIMINANT ANALYSIS; LINEAR DISCRIMINANT ANALYSIS; NONLINEAR TECHNIQUES; POTENTIAL APPLICATIONS; R-TRANSFORM; RECOGNITION ACCURACY; RECOGNITION RATES; SYSTEM DEVELOPMENT; TRANSLATION INVARIANT FEATURE; VIDEO ACTIVITY; VIDEO SENSORS;

DISCRIMINANT ANALYSIS; FACE RECOGNITION; FEATURE EXTRACTION; HEALTH CARE; HIDDEN MARKOV MODELS; MATHEMATICAL TRANSFORMATIONS;

GESTURE RECOGNITION;

EID: 84856241051     PISSN: 00983063     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCE.2011.6131162     Document Type: Article

References (26)

1. P. Turaga, R. Chellappa, V. S. Subrahmanian, and O. Udrea, "Machine recognition of human activities: a survey," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 11, pp. 1473-1488, Nov. 2008.
2. B. Han, Y. Hu, G. Wang, W. Wu, and T. Yoshigahara, "Enhanced sports video shot boundary detection based on middle level features and a unified model," IEEE Trans. Consumer Electron., vol. 53, no. 3, pp. 1168-1176, Aug. 2007. (Pubitemid 47593388)
3. F. Zuo, and P. H. N. deWith, "Real-time embedded face recognition for smart home," IEEE Trans. Consumer Electron., vol. 51, no. 1, pp. 183-190, Feb. 2005. (Pubitemid 40679194)
4. G. Medioni, I. Cohen, F. Bremond, S. Hongeng, and R. Nevatia, "Event detection and analysis from video streams," IEEE Trans. Pattern Anal. Machine Intell., vol. 23, no. 8, pp. 873-889, Aug. 2001. (Pubitemid 32780014)
5. N. M. Oliver, B. Rosario, and A. Pentland, "A bayesian computer vision system for modeling human interactions," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 8, pp. 831-843, Aug. 2000.
6. C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, "Pfinder: real-time tracking of the human body," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, no. 7, pp. 780-785, July 1997. (Pubitemid 127762271)
7. J. Xiaofei, and L.Honghai, "Advances in view-invariant human motion analysis: a review," IEEE Trans. System, Man, Cybernet., Part C: Applic. Reviews, vol. 40, no. 1, pp. 13-24, Jan. 2010.
8. I. Cohen, and H. Lim, "Inference of human postures by classification of 3D human body shape," IEEE Intl. Workshop on Anal. Model. Faces gestures, pp. 74-81, 2003.
9. F. Niu, and M .A. Mottaleb, "View-invariant human activity recognition based on shape and motion features," Robotics Automat. J., vol. 22, no. 3, pp. 235-243, Jun. 2007. (Pubitemid 47624580)
10. S. Loncaric, "A survey of shape analysis techniques," Pattern Recog. J., vol. 31, no. 8, pp. 983-1001, Aug. 1998. (Pubitemid 128369829)
11. S. Venkatesha, and M. Turk, "Human activity recognition using local shape descriptors," ICPR, 20th Intl. Conf. Comp. Vision Pattern Recog., pp. 3704-3707, Aug. 2010.
12. J. Yamato, J. Ohya, and K. Ishii, "Recognizing human action in timesequential images using hidden markov model," in Proc. IEEE Conf. Comp. Vision Pattern Recog., pp. 379-385, Jun. 1992.
13. H. Foroughi, H.S. Yazdi, H. Pourreza, and M. Javidi, "An eigenspacebased approach for human fall detection using integrated time motion image and multi-class support vector machine," 4th Intl. Conf. Intell. Comp. Comm. Process., pp. 83-90, Aug. 2008.
14. D. Duque, H. Santos, and P. Cortez, "The OBSERVER: An intelligent and automated video surveillance system," ICIAR, 3rd Intl. Conf. Image Anal. Recog., Lecture Notes in Computer Science, Springer series, vol. 4142, pp. 898-909, Sep. 2006. (Pubitemid 44553550)
15. H. Foroughi, B.S. Aski, and H. Pourreza, "Intelligent video surveillance for monitoring fall detection of elderly in home environments," ICCIT, 11th Intl. Conf. on Comp. Info. Tech., pp. 219-224, Dec. 2008.
16. M. Skubic, G. Alexander, M. Popescu, M. Rantz, and J. Keller, "A smart home application to eldercare: current status and lessons learned," Technology and healthcare, J., vol. 17, no. 3, pp. 183-201, Aug. 2009.
17. S. Tabbone, L. Wendling, and J.P. Salmon, "A new shape descriptor defined on the radon transform," Comp. Vision Image Understand. J., vol. 102, no. 1, pp. 42-51, Apr. 2006. (Pubitemid 43344449)
18. Z. A. Khan, and W. Sohn, "Feature extraction and dimensions reduction using r-transform and principal component analysis for abnormal human activity recognition," in Proc. IEEE Intl. Conf. Data Mining Info. Tech. Application., pp. 253-258, Nov. 2010.
19. N. V. Boulgouris, and Z. X. Chi, "Gait recognition using radon transform and linear discriminant analysis," IEEE Trans. Image Process., vol. 16, no. 3, pp. 731-740, Mar. 2007. (Pubitemid 46431971)
20. W. Cao, Y. Zeng, C-M. Xia, H. Cao, "Identifying hand-motion patterns via kernel discriminant analysis based dimension reduction and quadratic classifier," ICWAPR, Intl. Conf, Wavelet Anal.Pattern Recog., pp. 1-6, July, 2011.
21. A. Elgammal, D. Harwood, and L. Davis, "Non-parametric model for background subtraction," in Proc. 6th European Conf. Comp. Vision, pp. 751-767, Jun. 2000.
22. K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed., Academic Press: San Diego, CA, 1990.
23. B. Schölkopf and A.J. Smola. Learning with Kernels-Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press: Cambridge, MA, 2001.
24. T. Kanungo, D.M. Mount, N. S. Netanyahu, C.D. Piatko, R. Silverman, and A. Y. Wu, "An efficient k-means clustering algorithm: Analysis and implementation," IEEE Trans. Pattern Anal. Machine Intell., vol. 24, no. 7, pp. 881-892, Jul. 2002. (Pubitemid 34835464)
25. E. Baum, T. Petrie, G. Soules, and N. Weiss, "A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains," Annals of Math. Stats. J., vol. 41, no. 1, pp. 164-171, 1970.
26. A. F. Gernot, Markov Models for Pattern Recognition: From Theory to Applications. Springer: New York, 2008.