Action recognition by learnt class-specific overcomplete dictionaries

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 143-148

  Guha, Tanaya ^a   Ward, Rabab K ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BASIS VECTOR; DATA SETS; HUMAN-ACTION RECOGNITION; IMAGE PATCHES; LINEAR COMBINATIONS; OPTIMIZATION PROBLEMS; OVERCOMPLETE DICTIONARIES; QUERY CLASS; QUERY SEQUENCE; SPARSE SIGNAL REPRESENTATION;

FACE RECOGNITION; MOTION ESTIMATION;

GESTURE RECOGNITION;

EID: 79958693814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771388     Document Type: Conference Paper

References (22)

1. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," IEEE Trans. PAMI, vol. 29, no. 12, pp. 2247-2253, December 2007. (Pubitemid 350124072)
2. A. A. Efros, A. C. Berg, G. Mori, and J. Malik, "Recognizing action at a distance," in Proc. ICCV, 2003.
3. J. Yamato, J. Ohya, and K. Ishii, "Recognizing human action in timesequential images using hidden markov model," in Proc. CVPR, 1992, pp. 379-385.
4. Aaron F. Bobick and James W. Davis, "The recognition of human movement using temporal templates," IEEE Trans. PAMI, vol. 23, pp. 257-267, 2001. (Pubitemid 32286632)
5. C. Bregler, "Learning and recognizing human dynamics in video sequences," CVPR, 1997.
6. Ziming Zhang, Yiqun Hu, Syin Chan, and Liang-Tien Chia, "Motion context: A new representation for human action recognition," in Proc. ECCV, 2008, vol. 5305, pp. 817-829.
7. S. Mallat, A wavelet tour of signal processing: The sparse way, 3rd Ed, Academic Press, NY, 2008.
8. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust face recognition via sparse representation," IEEE Trans. PAMI, vol. 31, pp. 210-227, 2008.
9. K. Engan, S. O. Aase, and J. H. Husoy, "Frame based signal compression using method of optimal directions (mod)," in Proc. ISCAS, 1999.
10. M. Aharon, M. Elad, and A. Bruckstein, "K-svd: An algorithm for designing overcomplete dictionaries for sparse representation," IEEE Trans. Signal Processing, vol. 54, pp. 4311-4322, Nov. 2006. (Pubitemid 44637761)
11. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Processing, vol. 15, no. 12, pp. 3736-3745, Dec. 2006. (Pubitemid 44811686)
12. G. Peyŕe, "Sparse modeling of textures," J. Math. Imaging Vis., vol. 34, no. 1, pp. 17-31, 2009.
13. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Discriminative learned dictionaries for local image analysis," in Proc. CVPR, 2008.
14. R. Grosse, R. Raina, H. Kwong, and A. Y. Ng., "Shift-invariant sparse coding for audio classification," in Proc. UAI, 2007.
15. C. Schuldt, I. Laptev, and B. Caputo, "Recognizing human actions: a local svm approach," in Proc. ICPR, 2004, vol. 3, pp. 32-36 Vol.3.
16. M.D. Rodriguez, J. Ahmed, and M. Shah, "Action mach a spatiotemporal maximum average correlation height filter for action recognition," in Proc. CVPR 2008, 2008, pp. 1-8.
17. Ella Bingham and Heikki Mannila, "Random projection in dimensionality reduction: applications to image and text data," in Proc. ACM int. conf. Knowledge discovery and data mining, New York, NY, USA, 2001, pp. 245-250.
18. B.A. Olshausen and D. J. Field, "Natural image statistics and efficient coding," Network: Computation in Neural Systems, vol. 7, no. 2, pp. 333-339, 1996. (Pubitemid 126714799)
19. Yonina C. Eldar and Helmut Bolcskei, "Block-sparsity: Coherence and efficient recovery," in Proc. ICASSP, 2009, pp. 2885-2888.
20. Juan Niebles, Hongcheng Wang, and Li Fei-Fei, "Unsupervised learning of human action categories using spatial-temporal words," Int. J. Computer Vision, vol. 79, pp. 299-318, 2008.
21. Zhe Lin, Zhuolin Jiang, and Larry S. Davis, "Recognizing actions by shape-motion prototype trees," in Proc. ICCV, 29 2009.
22. A. Yao, J. Gall, and L. Van Gool, "A hough transform-based voting framework for action recognition," in Proc. CVPR, 2010, pp. 2061-2068.