Action recognition using sparse representation on covariance manifolds of optical flow

Proceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Volumn , Issue , 2010, Pages 188-195

  Guo, Kai ^a   Ishwar, Prakash ^a   Konrad, Janusz ^a  

^a Boston University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FLOW VELOCITY; GEOMETRY; LINEAR PROGRAMMING; OPTICAL FLOWS; OPTICAL PROPERTIES; SECURITY SYSTEMS; SOFTWARE TESTING; STATISTICAL METHODS; VECTOR SPACES;

CLASSIFICATION RATES; COMPUTATIONALLY EFFICIENT; COVARIANCE DESCRIPTOR; FEATURE COVARIANCE MATRIXES; LEAVE-ONE-OUT CROSS VALIDATIONS; LINEAR REPRESENTATION; LOW-DIMENSIONAL REPRESENTATION; SPARSE REPRESENTATION;

COVARIANCE MATRIX;

EID: 78449299184     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2010.71     Document Type: Conference Paper

References (21)

1. S. Ali and M. Shah. Human action recognition in videos using kinematic features and multiple instance learning. IEEE Trans. Pattern Anal. Machine Intell., 32(2):288-303, Feb. 2010.
2. V. Arsigny, P. Pennec, and X. Ayache. Log-euclidean metrics for fast and simple calculus on diffusion tensors. Magnetic resonance in medicine, 56(2):411-421, 2006.
3. A. Bobick and J. Davis. The recognition of human movement using temporal templates. IEEE Trans. Pattern Anal. Machine Intell., 23(3):257-267, Mar. 2001. (Pubitemid 32286632)
4. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In IEEE Int'l Workshop VS-PETS, 2005.
5. D. L. Donoho. For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution. Comm. Pure Appl. Math, 59:797-829, 2004.
6. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. IEEE Trans. Pattern Anal. Machine Intell., 29(12):2247-2253, Dec. 2007.
7. K. Guo, P. Ishwar, and J. Konrad. Action recognition from video by covariance matching of silhouette tunnels. In Proc. Brazilian Symp. on Computer Graphics and Image Proc., Oct. 2009.
8. Y. Ke, R. Sukthankar, and M. Hebert. Efficient visual event detection using volumetric features. In Proc. IEEE Int. Conf. Computer Vision, 2005.
9. T. Kim and R. Cipolla. Canonical correlation analysis of video volume tensors for action categorization and detection. IEEE Trans. Pattern Anal. Machine Intell., 31(8):1415-1428, 2009.
10. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learing realistic human actions from movies. In Proc. IEEE Conf. Computer Vision Pattern Recognition, June 2008.
11. J. Niebles, H.Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. In Intern. J. Comput. Vis., Mar. 2008.
12. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In Proc. Int. Conf. Pattern Recognition, June 2004.
13. H. J. Seo and P. Milanfar. Action recognition from one example. IEEE Trans. Pattern Anal. Machine Intell., submitted.
14. T. Starner and A. Pentland. Visual recognition of american sign language using hidden markov models. In IEEE Int. Conf. on Automatic Face and Gesture Recognition, 1995.
15. O. Tuzel, F. Porikli, and P. Meer. Region covariance: A fast descriptor for detection and classification. In Proc. European Conf. Computer Vision, May 2006.
16. O. Tuzel, F. Porikli, and P. Meer. Pedestrian detection via classification on Riemannian manifolds. IEEE Trans. Pattern Anal. Machine Intell., 30(10):1713-1727, Oct. 2008.
17. S. F.Wong and R. Cipolla. Extracting spatio-temporal interest points using global information. In Proc. IEEE Int. Conf. Computer Vision, Oct. 2007.
18. J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Trans. Pattern Anal. Machine Intell., 31(2):210-227, Feb. 2009.
19. J. Yamato, J. Ohya, and K. Ishii. Recognizing human action in time sequential images using hidden markov model. In Proc. IEEE Conf. Computer Vision Pattern Recognition, June 1992.
20. A. Yilmaz and M. Shah. Action sketch: A novel action representation. In Proc. IEEE Conf. Computer Vision Pattern Recognition, June 2005.
21. C. Zach, T. Pock, and H. Bischof. A duality based approach for realtime tv-l1 optical flow. In Pattern Recognition, pages 214-223, 2007.