Learning spatiotemporal graphs of human activities

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 778-785

  Brendel, William ^a   Todorovic, Sinisa ^a  

^a OREGON STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ARBITRARY PERMUTATIONS; DATA SETS; HUMAN ACTIVITIES; HUMANINTERACTION; LEAST-SQUARES OPTIMIZATION; MULTISCALES; OLYMPICS; PRIMITIVE ACTIONS; SEGMENTER; SPATIAL RELATIONSHIPS; SPATIO-TEMPORAL RELATIONS; STATE OF THE ART; TEMPORAL RELATION; VIDEO SEGMENTS;

GRAPHIC METHODS; IMAGE SEGMENTATION;

GRAPH THEORY;

EID: 84856661125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126316     Document Type: Conference Paper

References (25)

1. J. Aggarwal and M. Ryoo. Human activity analysis: A review. ACM Comput. Surv., 43:16:1-16:43, 2011. 1
2. N. Ahuja and S. Todorovic. Extracting texels in 2.1D natural textures. In ICCV, 2007. 2
3. M. Albanese, R. Chellappa, N. Cuntoor, V. Moscato, A. Picariello, V. S. Subrahmanian, and O. Udrea. PADS: A probabilistic activity detection framework for video data. IEEE TPAMI, 32:2246-2261, 2010. 1
4. H. Bunke, P. Foggia, C. Guidobaldi, and M. Vento. Graph clustering using the weighted minimum common supergraph. In GbRPR, 2003. 2
5. C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the Nystrom method. IEEE TPAMI, 26(2):214-225, 2004. 5, 7
6. N. Friedman and D. Koller. Being Bayesian about Bayesian network structure: A Bayesian approach to structure discovery in Bayesian networks. ML, 50(1-2):95-125, 2003. 2
7. D. B. Goldman, C. Gonterman, B. Curless, D. Salesin, and S. M. Seitz. Video object annotation, navigation, and composition. In UIST, pages 3-12, 2008. 5
8. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. IEEE TPAMI, 29(12):2247-2253, 2007. 2, 6
9. A. Gupta, P. Srinivasan, J. Shi, and L. Davis. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos. In CVPR, 2009. 1
10. R. Hamid, S. Maddi, A. Bobick, and I. Essa. Structure from statistics: Unsupervised activity analysis using suffix trees. In ICCV, 2007. 1
11. T. Lan, Y. Wang, W. Yang, and G. Mori. Beyond actions: Discriminative models for contextual group activities. In NIPS, 2010. 1
12. I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld, I. Rennes, I. I. Grenoble, and L. L. B. Learning realistic human actions from movies. In CVPR, 2008. 7
13. Z. Lin, Z. Jiang, and L. S. Davis. Recognizing actions by shape-motion prototype trees. In ICCV, 2009. 1, 2
14. X. Liu, L. Lin, S. C. Zhu, and H. Jin. Trajectory parsing by cluster sampling in spatiotemporal graph. In CVPR, 2009. 1
15. A. Nemirovski. Sums of random symmetric matrices and quadratic optimization under orthogonality constraints. Math. Program., 109:283-317, 2007. 4
16. J. C. Niebles, C.-W. Chen, , and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010. 1, 6, 7, 8
17. M. Ristivojevic and J. Konrad. Space-time image sequence analysis: Object tunnels and occlusion volumes. IEEE Trans. Image Processing, 15(2):364-376, 2006. 5
18. M. S. Ryoo and J. K. Aggarwal. Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities. In ICCV, 2009. 6, 7
19. J. Shi, S. Belongie, T. Leung, and J. Malik. Image and video segmentation: The normalized cut framework. In ICIP, pages 943-947, 1998. 7
20. S. Todorovic and N. Ahuja. Unsupervised category modeling, recognition, and segmentation in images. IEEE TPAMI, 30(12):1-17, 2008. 2
21. A. Torsello. An importance sampling approach to learning structural representations of shape. CVPR, 2008. 2
22. A. Torsello and E. R. Hancock. Learning shape-classes using a mixture of tree-unions. IEEE TPAMI, 28(6):954-967, 2006. 2
23. S. D. Tran and L. S. Davis. Event modeling and recognition using Markov Logic Networks. In ECCV, 2008. 1
24. T. Xiang and S. Gong. Beyond tracking: Modelling activity and understanding behaviour. IJCV, 67(1):21-51, 2006. 1
25. J. Yamato, J. Ohya, and K. Ishii. Recognizing human action in time-sequential images using Hidden Markov Model. In CVPR, 1992. 1