Action recognition using super sparse coding vector with spatio-temporal awareness

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

Volumn 8690 LNCS, Issue PART 2, 2014, Pages 727-741

  Yang, Xiaodong ^a   Tian, YingLi ^a  

^a City College of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; MOTION ESTIMATION;

ACTION RECOGNITION; BENCHMARK DATASETS; COMPUTATIONALLY EFFICIENT; HUMAN-ACTION RECOGNITION; LINEAR CLASSIFIERS; LOCATION VECTOR; LOW LEVEL DESCRIPTORS; SPATIOTEMPORAL INFORMATION;

CODES (SYMBOLS);

EID: 84906509652     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10605-2_47     Document Type: Conference Paper

References (31)

1. Bhattacharya, S., Sukthankar, R., Jin, R., Shah, M.: A Probabilistic Representation for Efficient Large-Scale Visual Recognition Tasks. In: CVPR (2011)
2. Brendel, W., Todorovic, S.: Activities as Time Series of Human Postures. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part II. LNCS, vol. 6312, pp. 721-734. Springer, Heidelberg (2010)
3. Coates, A., Ng, A.: The Importance of Encoding versus Training with Sparse Coding and Vector Quantization. In: ICML (2011)
4. Fan, R., Chang, K., Hsieh, C., Wang, X., Lin, C.: LIBLINEAR: A Library for Large Linear Classification. JMLR (2008)
5. Gemert, J., Veenman, C., Smeulders, A., Geusebroek, J.: Visual Word Ambiguity. PAMI (2009)
6. Kliper-Gross, O., Gurovich, Y., Hassner, T., Wolf, L.: Motion Interchange Patterns for Action Recognition in Unconstrained Videos. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 256-269. Springer, Heidelberg (2012)
7. Ikizler-Cinbis, N., Sclaroff, S.: Object, Scene and Actions: Combining Multiple Features for Human Action Recognition. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 494-507. Springer, Heidelberg (2010)
8. Jaakkola, T., Haussler, D.: Exploiting Generative Models in Discriminative Classifiers. In: NIPS (1998)
9. Jain, M., Jegou, H., Bouthemy, P.: Better Exploiting Motion for Better Action Recognition. In: CVPR (2013)
10. Jegou, H., Douze, M., Schmid, C., Perez, P.: Aggregating Local Descriptors into a Compact Image Representation. In: CVPR (2010)
11. Jiang, Y.-G., Dai, Q., Xue, X., Liu, W., Ngo, C.-W.: Trajectory-Based Modeling of Human Actions with Motion Reference Points. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part V. LNCS, vol. 7576, pp. 425-438. Springer, Heidelberg (2012)
12. Krapac, J., Verbeek, J., Jurie, F.: Modeling Spatial Layout with Fisher Vector for Image Categorization. In: ICCV (2011)
13. Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.: HMDB: A Large Video Database for Human Motion Recognition. In: CVPR (2011)
14. Laptev, I.: On Space-Time Interest Points. IJCV (2005)
15. Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning Realistic Human Actions from Movies. In: CVPR (2008)
16. Lazebnik, S., Schmid, C., Ponce, J.: Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In: CVPR (2006)
17. Le, Q., Zou, W., Yeung, S., Ng, A.: Learning Hierarchical Invariant Spatio-Temporal Features for Action Recognition with Independent Subspace Analysis. In: CVPR (2011)
18. Liu, J., Luo, J., Shah, M.: Recognizing Realistic Actions from Videos in the Wild. In: CVPR (2009)
19. Liu, L., Wang, L., Liu, X.: In Defense of Soft-Assignment Coding. In: ICCV (2011)
20. Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online Dictionary Learning for Sparse Coding. In: ICML (2009)
21. McCann, S., Lowe, D.G.: Spatially Local Coding for Object Recognition. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012, Part I. LNCS, vol. 7724, pp. 204-217. Springer, Heidelberg (2013)
22. Peng, X., Qiao, Y., Peng, Q., Qi, X.: Exploring Motion Boundary based Sampling and Spatio-Temporal Context Descriptors for Action Recognition. In: BMVC (2013)
23. Perronnin, F., Sánchez, J., Mensink, T.: Improving the Fisher Kernel for Large-Scale Image Classification. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 143-156. Springer, Heidelberg (2010)
24. Sanchez, J., Perronnin, F., Campos, T.: Modeling the Spatial Layout of Images Beyond Spatial Pyramids. PRL (2012)
25. Sanchez, J., Perronnin, F., Mensink, T., Verbeek, J.: Image Classification with the Fisher Vector: Theory and Practice. IJCV (2013)
26. Wang, H., Klaser, A., Schmid, C., Liu, C.: Dense Trajectories and Motion Boundary Descriptors for Action Recognition. IJCV (2013)
27. Wang, H., Ullah, M., Klaser, A., Laptev, I., Schmid, C.: Evaluation of Local Spatio-Temporal Features for Action Recognition. In: BMVC (2009)
28. Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., Gong, Y.: Locality-Constrained Linear Coding for Image Classification. In: CVPR (2010)
29. Wang, X., Wang, L., Qiao, Y.: A Comparative Study of Encoding, Pooling and Normalization Methods for Action Recognition. In: Lee, K.M., Matsushita, Y., Rehg, J.M., Hu, Z. (eds.) ACCV 2012, Part III. LNCS, vol. 7726, pp. 572-585. Springer, Heidelberg (2013)
30. Yang, J., Yu, K., Gong, Y., Huang, T.: Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification. In: CVPR (2009)
31. Zhou, X., Yu, K., Zhang, T., Huang, T.S.: Image Classification Using Super-Vector Coding of Local Image Descriptors. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 141-154. Springer, Heidelberg (2010)