VIEW-INVARIANT HUMAN ACTIVITY RECOGNITION BASED ON SHAPE AND MOTION FEATURES

F. Niu and M. Abdel-Mottaleb

References

  1. [1] D. Gavrila, The visual analysis of human movement: A survey, Computer Vision and Image Understanding, 73, 1999, 82–98. doi:10.1006/cviu.1998.0716
  2. [2] X. Sun, C.W. Chen, & B.S. Manjunath, Probabilistic motion parameter models for activity recognition, The 16th International Conference on Pattern Recognition, Quebec City, QC, Canada, August 11–15, 1, 2002, 104443–104450.
  3. [3] O. Masoud & N. Papanikolopoulos, Recognizing human activities, IEEE Conf. Advanced Video and Signal Based Surveillance, Miami, Florida, July 21–22, 2003, 157–162. doi:10.1109/AVSS.2003.1217916
  4. [4] R. Hamid, Y. Huang & I. Essa, ARG mode – activity recognition using graphical models, Conference on Computer Vision and Pattern Recognition Workshop, Madison, Wisconsin, June 16–22, 4, 2003, 38–45.
  5. [5] J. Ben-Arie, Z. Wang, P. Pandit, & S. Rajaram, Human activity recognition using multidimensional indexing, IEEE Transactions on Pattern Analysis and Machine IntelligenceArchive, 24 (8), August 2002, 1091–1104. doi:10.1109/TPAMI.2002.1023805
  6. [6] M. Zobl, F. Wallhoff, & G. Rigoll, Action recognition in meeting scenarios using global motion features, Proc. IEEE Int. Workshop on Performance Evaluation of Tracking and Surveillance, Graz, Austria, 2003.
  7. [7] A. Ali & J.K. Aggarwal, Segmentation and recognition of continuous human activity, IEEE Workshop on Detection and Recognition of Events in Video, Vancouver, Canada, July 8, 2001, 28–35. doi:10.1109/EVENT.2001.938863
  8. [8] I. Cohen & H. Li, Inference of human postures by classification of 3D human body shape, IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures, Nice, France, 2003, 74–81.
  9. [9] S. Carlsson & J. Sullivan, Action recognition by shape matching to key frames, IEEE Computer Society Workshop on Models versus Exemplars in Computer Vision, Miami, Florida, June 30, 2002, 263–270.
  10. [10] C. Rao & M. Shah, View-invariance in action recognition, Proc. 2001 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 11–13, 2001, 316–321.
  11. [11] V. Parmeswaran & R. Chellappa, View invariants for human action recognition, Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, Madison, WI, USA, 2003, 613–619.
  12. [12] A.S. Ogale, A. Karapurkar, & Y. Aloimonos, View-invariant modeling and recognition of human actions using grammars, Int. Conf. on Computer Vision (ICCV), Workshop on Dynamical Vision, Beijing, China, October 2005.
  13. [13] A. Elgammal, D. Harwood, & L. Davis, Non Parametric Model for Background Subtraction, The 6th European Conference on Computer Vision, Dublin, Ireland, June/July 2000.
  14. [14] L.R. Rabiner, Tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, 77 (2), 1989, 257–286. doi:10.1109/5.18626
  15. [15] C. Bregler & Y. König, Eigenlips for robust speech recognition, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal, Processing, Adelaide, Australia, 1994, 669–672.
  16. [16] X.D. Huang, Y. Ariki, & R. Reddy, An overview of the SPHINX speech recognition system, IEEE Transactions on ASSP, 40 (5), 1992, 1062–1067. doi:10.1109/78.134469
  17. [17] A.D. Wilson & A.F. Bobick, Recognition and interpretation of parametric gesture, Sixth International Conference on Computer Vision, Bombay, India, 1998, 329–336.
  18. [18] C. Bregler, Learning and recognizing human dynamics in video sequences, Proc. IEEE Int’l Conf. on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, 1997, 568–574. doi:10.1109/CVPR.1997.609382
  19. [19] Y. Nam & K.Y. Wohn, Recognition of space-time hand-gestures using hidden Markov Model, ACM Symp. on Virtual Reality Software and Technology, Hong Kong, 1996, 51–58.
  20. [20] A. Pentland & A. Liu, Modeling and prediction of human behavior, Intl. Conference on Human- Computer Interaction, New Orleans, LA, August 2001, 229–242.
  21. [21] P. Stoll & J. Ohya, Applications of HMM modeling to recognizing human gestures in image sequences for a man-machine interface, The 4th IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, 1995, 129–134. doi:10.1109/ROMAN.1995.531948
  22. [22] M. Brand, N. Oliver, & A. Pentland, Coupled hidden Markov models for complex action recognition, Conference on Computer Vision and Pattern Recognition, 1997, 994–1000.

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