Modeling sense disambiguation of human pose: Recognizing action at a distance by key poses

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6492 LNCS, Issue PART 1, 2011, Pages 244-255

  Mukherjee, Snehasis ^a   Biswas, Sujoy Kumar ^a   Mukherjee, Dipti Prasad ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CENTRALITY MEASURES; DATA SETS; DESCRIPTORS; GRAPH CONNECTIVITY; HUMAN POSE; KEY POSE; LARGE VOCABULARY; MOTION PATTERN; STATE OF THE ART; VISUAL WORD;

MOTION ESTIMATION;

COMPUTER VISION;

EID: 79952492085     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19315-6_19     Document Type: Conference Paper

References (24)

1. Navigli, R., Lapata, M.: An experimental study of graph connectivity for unsupervised word sense disambiguation. IEEE Trans. on PAMI 32(4), 678-692 (2010)
2. Dollar, P., Rabaud, V., Cotrell, G., Belongie, S.: Behavior Recognition via Sparse Spatio-Temporal Features. In: IEEE Int. Workshop on VS-PETS, pp. 65-72 (2005) (Pubitemid 46178025)
3. Laptev, I., Lindeberg, T.: Space-time Interest Points. In: 9th ICCV, vol. 1, pp. 432-439 (2003)
4. Efros, A.A., Berg, A.C., Mori, G., Malik, J.: Recognizing Action at a Distance. In: 9th ICCV, vol. 2, pp. 726-733 (2003)
5. Ikizler, N., Duygulu, P.: Histogram of Oriented Rectangles: A New Pose Descriptor for Human Action Recognition. Image and Vision Computing 27, 1515-1526 (2009)
6. Wang, Y., Mori, G.: Human Action Recognition by Semi-Latent Topic Models. IEEE Trans. on PAMI 31(10), 1762-1774 (2009)
7. Niebles, J.C., Wang, H., Li, F.-F.: Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. IJCV 79(3), 299-318 (2008)
8. Liu, J., Luo, J., Shah, M.: Recognizing Realistic Actions from Videos "in the Wild". In: CVPR (2009)
9. Niebles, J., Le, F.F.: A hierarchical model of shape and appearance for human action classification. In: CVPR (2007)
10. Bissacco, A., Yang, M.H., Soatto, S.: Detecting humans with their pose. In: NIPS (2007)
11. Fengjun, L., Nevatia, R.: Single View Human Action Recognition using Key Pose Matching and Viterbi Path Seraching. In: CVPR (2007)
12. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994)
13. Brin, S., Page, L.: The anatomy of a large-scale hyper-textual web search engine. Computer Networks and ISDN Systems 30(1-7), 107-117 (1998)
14. Kim, G., Faloutsos, C., Hebert, M.: Unsupervised modeling of object categories using link analysis technique. In: CVPR (2008)
15. Lucas, B.D., Kanade, T.: An Iterative Image Registration Technique with an Application to Stereo Vision. In: 7th IJCAI, pp. 674-679 (1981) (Pubitemid 14478744)
16. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)
17. Pelleg, D., Moore, A.W.: X-means: Extending K-means with efficient Estimation of the Number of Clusters. In: ICML (2000)
18. Narayan, B.L., Murthy, C.A., Pal, S.K.: Maxdiff kd-trees for Data Condensation. PRL 27(3), 187-200 (2005) (Pubitemid 41689832)
19. Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms. MIT Press, Cambridge (2003)
20. Gemert, J.C.V., Veenman, C.J., Smeulders, A.W.M., Geusebroek, J.M.: Visual Word Ambiguity. IEEE Trans. on PAMI 32(7), 1271-1283 (2010)
21. Chen, C.C., Ryoo, M.S., Aggarwal, J.K.: UT-Tower Dataset: Aerial View Activity Classification Challenge (2010), http://cvrc.ece.utexas.edu/SDHA2010/ Aerial-View-Activity.html
22. Lu, W.L., Okuma, K., Little, J.J.: Tracking and Recognizing Actions of Multiple Hockey Players Using the Boosted Particle Filter. Image and Vision Computing 27(1-2), 189-205 (2009)
23. Schuldt, C., Laptev, I., Caputo, B.: Recognizing Human Actions: A Local SVM Approach. In: 17th ICPR, pp. 32-36 (2004)
24. http://www.csie.ntu.edu.tw/~cjlin/libsvm/ (June 2010)