Continuous human action segmentation and recognition using a spatio-temporal probabilistic framework

ISM 2006 - 8th IEEE International Symposium on Multimedia

Volumn , Issue , 2006, Pages 275-282

  Chen, Duan Yu ^a   Liao, Hong Yuan Mark ^a   Shih, Sheng Wen ^b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL CHI NAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COSINE TRANSFORMS; DIGITAL SIGNAL PROCESSING; DISCRETE COSINE TRANSFORMS; ELECTRIC FAULT LOCATION; MOTION ESTIMATION; PROBABILITY DISTRIBUTIONS;

ACTION MODELING; CONTINUOUS ACTIONS; DISCRETE COSINE TRANSFORM (DCT); DISCRIMINATING POWER; FIGURE PARAMETERS; FREQUENCY-DOMAIN (FD); GAUSSIAN MIXTURE MODELS (GMMS); HUMAN ACTIONS; HUMAN BODIES; INTERNATIONAL SYMPOSIUM; INTRINSIC NATURE; PROBABILISTIC FRAMEWORKS; SPATIO-TEMPORAL; SPATIO-TEMPORAL DISTRIBUTIONS; STAR-LIKE; TEMPORAL PATTERN (TRAP); TEMPORAL VARIATIONS; TIME SEQUENCES;

TECHNICAL PRESENTATIONS;

EID: 46249083364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISM.2006.53     Document Type: Conference Paper

References (17)

1. T. Moeslund and E. Granum, "A Survey of Computer Vision-based Human Motion Capture," Computer Vision and Image Understanding, Vol.81, no.3, pp.231-268, Mar. 2001.
2. I. Haritaoglu, D. Harwood, and L. Davis, "Ghost: A Human Body Part Labeling System Using Silhouettes," in Proc. Int. Conf. Pattern Recognition, Vol.1, pp.77-82, 1998.
3. A. F. Bobick and J. W. Davis, "The Recognition of Human Movement Using Temporal Templates," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.23, no 3, Mar. 2001.
4. B. Boulay, F. Bremond, and M. Thonnat, "Human Posture Recognition in Video Sequence," in Proc. IEEE Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 23-29, 2003.
5. T. Zhao, R. Nevatia and F. Lv, "Segmentation and Tracking of Multiple Humans in Complex Situations," in Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition, Vol.2, pp.08-12, 2001.
6. H. Fujiyoshi and A. Lipton, "Real-Time Human Motion Analysis by Image Skeletonization," in Proc. IEEE Workshop on Application Computer Vision, pp. 15-21, 1998.
7. I. C. Chang and C. L. Huang, "The Model-based Human Body Motion Analysis System," Image Vision Computation, Vol. 18, no. 14, pp. 1067-1083, 2000.
8. R. Cucchiara, c. Grana, A. Prati, and R. Vezzani, "Probabilistic Posture Classification for Huamn-Bahavior Analysis," IEEE Trans. on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol.35, no.1, pp.42-54, Jan. 2005.
9. A. Ali and J. K. Aggarwal, "Segmentation and recognition of continuous human activity," Proc. IEEE Workshop on Detection and Recognition of Events in Video, pp. 28-35, Vancouver, Canada, July, 8 2001.
10. Y. Rui and P. Anandan, "Segmenting Visual Actions Based on Spatio-Temporal Motion Patterns," Proc. CVPR 2000.
11. J. Goldberger, H. Aronowitz, "A Distance Measure Between GMMs based on Unscented Transform and tis Applications to Speaker Recognition," Proc. Eurospeech, 2005.
12. D.A. Reynolds, "Speaker Identification and Verification Using Gaussian Mixture Models", Speech Communication, vol. 17, pp. 91-108, Elsevier, 1995.
13. D. Reynold and R.C. Rose, "Robust text independent speaker identification using gaussian mixture speaker models," IEEE Tran. Speech and Audio Processing, 3:72-83, Jan. 1995.
14. R. O. Duda and P. E. Hart. Pattern Classification and Scene Analysis. John Wiley and Sons Inc., 1973.
15. P. Correa, J. Czyz, T. Umeda, F. Marques, X. Marichal, B. Macq, "Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications," IEEE ICIP 2005.
16. N. P. Cuntoor and R. Chellappa, "Key Frame-Based Activity Representation Using Antieigenvalues," pp. 409-598, ACCV 2006.
17. C. Stauffer and W.E.L. Grimson, Adaptive background mixture models for real-time tracking, Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 1999, vol. 19, pp. 23-25.