Human action recognition based on self organizing map

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 2130-2133

  Huang, Wei ^a   Wu, Q M Jonathan ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Dynamic programming; Human action recognition; Human silhouette; Longest common subsequence matching; Self organizing map

Indexed keywords

CONFORMAL MAPPING; SELF ORGANIZING MAPS;

ACTION RECOGNITION; ACTION SEQUENCES; HUMAN ACTIONS; HUMAN SILHOUETTE; HUMAN-ACTION RECOGNITION; LONG COMMON SUBSEQUENCE MATCHING; LONGEST COMMON SUBSEQUENCES; NOVEL NEURAL NETWORK; SELF-ORGANIZING-MAPS; SUBSEQUENCE MATCHING;

DYNAMIC PROGRAMMING;

EID: 78049392577     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495545     Document Type: Conference Paper

References (10)

1. C. Schuldt, I. Laptev, and B. Caputo, "Recognizing human actions: a local SVM approach," in Proc. of ICPR, pp. III: 32-36, 2004.
2. A. Klaser, M. Marszalek, and C. Schmid, "A spatio-temporal descriptor based on 3D-gradients," in Proc. of BMVC, 2008.
3. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," in Proc. of ICCV, pp. 1395-1402, 2005.
4. A. F. Bobick and J. W. Davis, "The recognition of human movement using temporal templates," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, no.3, pp.257-267, Mar 2001.
5. J. C. Niebles, H. Wang, and L. Fei-Fei, "Unsupervised learning of human action categories using spatio-temporal words," in Proc. of BMVC, 2006
6. J. C. Niebles and L. Fei-Fei, "A hierarchical model of shape and appearance for human action classification," in Proc. of CVPR, 2007.
7. P. Scovanner, S. Ali, and M. Shah, "A 3-dimensional sift descriptor and its application to action recognition," in Proc. of ACM Multimedia, 2007.
8. C. Orrite, F. Martinez, E. Herrero, H. Ragheb, and S. Velastin, "Independent viewpoint silhouette-based human action modelling and recognition," in Proc. of the 1st International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA'08), 2008.
9. T. Kohonen, Self-Organizing Maps, Springer-Verlag, 1995.
10. T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to Algorithms, 2nd Edition, MIT Press and McGraw-Hill, 2001.