Transfer learning for human action recognition

Proceedings - 24th SIBGRAPI Conference on Graphics, Patterns and Images

Volumn , Issue , 2011, Pages 352-359

  Lopes, Ana Paula B ^a,b   Da Santos, Elerson R S ^a   Do Valle Jr , Eduardo A ^c   De Almeida, Jussara M ^a   De Araújo, Arnaldo A ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b DEPARTAMENTO DE CIÊNCIAS BIOLÓGICAS   (Brazil)

^c UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Action recognition; Bags of visual features; Transfer learning; Video understanding

Indexed keywords

ACTION CLASSIFIER; ACTION RECOGNITION; AUTOMATED PROCEDURES; BAGS-OF-VISUAL-FEATURES; ERROR PRONES; HUMAN-ACTION RECOGNITION; INTRA-CLASS VARIATION; STILL IMAGES; TRAINING SETS; TRANSFER LEARNING; VIDEO DATABASE; VIDEO UNDERSTANDING;

GESTURE RECOGNITION;

MOTION ESTIMATION;

EID: 84857184838     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2011.41     Document Type: Conference Paper

References (25)

1. S. J. Pan and Q. Yang, "A survey on transfer learning," Transactions on Knowledge and Data Engineering (pre-print), 2009.
2. M. Marszalek, I. Laptev, and C. Schmid, "Actions in context," in CVPR '09, June 2009, pp. 2929-2936.
3. G. Griffin, A. Holub, and P. Perona, "Caltech-256 object category dataset," California Institute of Technology, Tech. Rep. 7694, 2007. [Online]. Available: http://authors.library.caltech.edu/7694
4. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, "Learning realistic human actions from movies," in CVPR '08, June 2008, pp. 1-8.
5. O. Duchenne, I. Laptev, J. Sivic, F. Bach, and J. Ponce, "Automatic annotation of human actions in video," in ICCV '09, 2009.
6. T. M. Mitchell, Machine Learning. New York: McGraw-Hill, 1997.
7. A. Ulges, C. Schulze, M. Koch, and T. M. Breuel, "Learning automatic concept detectors from online video," Computer Vision and Image Understanding, vol. In Press, Corrected Proof, pp. -, 2009. [Online]. Available: http://www.sciencedirect.com/science/article/B6WCX-4X1J787-3/2/ 944190566d7103b11000f88dcc2eb526
8. T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multiclass classification by pairwise coupling," Journal of Machine Learning Research, vol. 5, pp. 975-1005, August 2004.
9. N. Kumar, A. C. Berg, P. N. Belhumeur, and S. K. Nayar, "Attribute and simile classifiers for face verification," in ICCV '09, 2009.
10. L. Duan, I. W. Tsang, D. Xu, and T.-S. Chua, "Domain adaptation from multiple sources via auxiliary classifiers," in Proceedings of the 26th International Conference on Machine Learning, L. Bottou and M. Littman, Eds. Montreal: Omnipress, June 2009, pp. 289-296.
11. P. Verbancsics and K. O. Stanley, "Evolving static representations for task transfer," J. Mach. Learn. Res., vol. 11, pp. 1737-1769, August 2010. [Online]. Available: http://portal.acm.org/citation.cfm?id=1756006.1859909
12. A. P. B. Lopes, R. S. Oliveira, J. M. de Almeida, and A. de Albuquerque Araújo, "Comparing alternatives for capturing dynamic information in bag of visual features approaches applied to human actions recognition," in Proceedings of MMSP '09, 2009.
13. S. Ebadollahi, L. Xie, S. fu Chang, and J. Smith, "Visual event detection using multi-dimensional concept dynamics," in ICME '06, vol. 0. Los Alamitos, CA, USA: IEEE Computer Society, 2006, pp. 881-884. (Pubitemid 46679858)
14. L. Kennedy, "Revision of LSCOM Event/Activity Annotations, DTO Challenge Workshop on Large Scale Concept Ontology for Multimedia," Columbia University, Tech. Rep., December 2006.
15. L. Kennedy and A. Hauptmann, "LSCOM Lexicon Definitions and Annotations(Version 1.0)," Columbia University, Tech. Rep., March 2006.
16. J. Sun, X. Wu, S. Yan, L.-F. Cheong, T.-S. Chua, and J. Li, "Hierarchical spatio-temporal context modeling for action recognition," in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, June 2009, pp. 2004-2011.
17. D. Lowe, "Object recognition from local scale-invariant features," ICCV '99, vol. 2, pp. 1150-1157, 1999. (Pubitemid 32079997)
18. H. Wang, M. Ullah, A. Klaser, I. Laptev, and C. Schmid, "Evaluation of local spatio-temporal features for action recognition," in BMVC '09, 2009, pp. 1-5.
19. C. Schuldt, I. Laptev, and B. Caputo, "Recognizing human actions: a local SVM approach," in ICPR '04, vol. III, 2004, pp. 32-36.
20. L. Fei-Fei and P. Perona, "A bayesian hierarchical model for learning natural scene categories," CVPR, pp. 524-531, 2005.
21. W. Dai, Q. Yang, G. Xue, and Y. Yu, "Boosting for transfer learning," pp. 193-200, 2007.
22. R. Raina, A. Battle, H. Lee, B. Packer, and A. Ng, "Self-taught learning: transfer learning from unlabeled data," pp. 759-766, 2007.
23. C.-C. Chang and C.-J. Lin, LIBSVM: a library for support vector machines, 2001, software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
24. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in CVPR06, vol. II, 2006, pp. 2169-2178. (Pubitemid 44931582)
25. S. E. F. de Avila, A. P. B. a. Lopes, A. da Luz, Jr., and A. de Albuquerque Araújo, "Vsumm: A mechanism designed to produce static video summaries and a novel evaluation method," Pattern Recogn. Lett., vol. 32, pp. 56-68, January 2011. [Online]. Available: http://dx.doi.org/10.1016/j. patrec.2010.08.004