Spatio-temporal frames in a bag-of-visual-features approach for human actions recognition

Proceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing

Volumn , Issue , 2009, Pages 315-321

  Lopes, Ana Paula B ^a,b   Oliveira, Rodrigo S ^a   De Almeida, Jussara M ^a   Araújo, Arnaldo De A ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b DEPARTAMENTO DE CIÊNCIAS BIOLÓGICAS   (Brazil)

Author keywords

Bag of visual features; Human actions; Video classification

Indexed keywords

BASIC IDEA; DESCRIPTORS; DYNAMIC INFORMATION; HUMAN ACTIONS; INTEREST POINTS; MODEL BASED APPROACH; MODEL FREE; MODEL-BASED; RECOGNITION RATES; SPATIO-TEMPORAL; TIME AXIS; VIDEO CLASSIFICATION;

DYNAMIC PROGRAMMING; IMAGE PROCESSING; IMAGING SYSTEMS; LIGHT MEASUREMENT; THREE DIMENSIONAL;

COMPUTER GRAPHICS;

EID: 77949586627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2009.17     Document Type: Conference Paper

References (26)

1. Y.-G. Jiang, C.-W. Ngo, and J. Yang, "Towards optimal bag-of-features for object categorization and semantic video retrieval," in CIVR '07, 2007, pp. 494-501.
2. W. Hu, T. Tan, L. Wang, and S. Maybank, "A survey on visual surveillance of object motion and behaviors," SMC-C, vol. 34, no. 3, pp. 334-352, August 2004.
3. K. S. Patwardhan and S. D. Roy, "Hand gesture modelling and recognition involving changing shapes and trajectories, using a predictive eigentracker," Pattern Recogn. Lett., vol. 28, no. 3, pp. 329-334, 2007.
4. G. Kosta and M. Benoit, "Group behavior recognition for gesture analysis," Circuits and Systems for Video Technology, IEEE Transactions on, vol. 18, no. 2, pp. 211-222, Feb. 2008.
5. A. Branzan Albu, T. Beugeling, N. Virji Babul, and C. Beach, "Analysis of irregularities in human actions with volumetric motion history images," in Motion07, 2007, pp. 16-16.
6. J. K. Aggarwal and S. Park, "Human motion: Modeling and recognition of actions and interactions," in 3DPVT '04. Washington, DC, USA: IEEE Computer Society, 2004, pp. 640-647.
7. T. B. Moeslund, A. Hilton, and V. Krüger, "A survey of advances in vision-based human motion capture and analysis," Comput. Vis. Image Underst., vol. 104, no. 2, pp. 90-126, 2006.
8. R. Chellappa, A. K. Roy-Chowdhury, and S. K. Zhou, "Recognition of humans and their activities using video," Synthesis Lectures on Image, Video, and Multimedia Processing, vol. 1, no. 1, pp. 1-173, 2005.
9. A. Mokhber, C. Achard, and M. Milgram, "Recognition of human behavior by space-time silhouette characterization," Pattern Recogn. Lett., vol. 29, no. 1, pp. 81-89, 2008.
10. R. A. Baeza-Yates and B. A. Ribeiro-Neto, Modern Information Retrieval. ACM Press / Addison-Wesley, 1999.
11. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," TPAMI, vol. 29, no. 12, pp. 2247-2253, December 2007.
12. H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool, "Speeded-up robust features (SURF)," CVIU, vol. 110, no. 3, pp. 346-359, 2008.
13. D. Lowe, "Object recognition from local scale-invariant features," ICCV '99, vol. 2, pp. 1150-1157 vol.2, 1999.
14. C. Schuldt, I. Laptev, and B. Caputo, "Recognizing human actions: a local SVM approach," in ICPR '04, 2004, pp. III: 32-36.
15. I. Laptev and T. Lindeberg, "Space-time interest points," in ICCV '03, 2003, pp. 432-439.
16. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie, "Behavior recognition via sparse spatio-temporal features," in ICCCN '05. Washington, DC, USA: IEEE Computer Society, 2005, pp. 65-72.
17. J. Niebles and F. Li, "A hierarchical model of shape and appearance for human action classification," in CVPR '07, 2007, pp. 1-8.
18. J. C. Niebles, H. Wang, and L. Fei-Fei, "Unsupervised learning of human action categories using spatial-temporal words," IJCV, vol. 79, no. 3, pp. 299-318, 2008.
19. J. Liu, S. Ali, and M. Shah, "Recognizing human actions using multiple features," CVPR '08, pp. 1-8, June 2008.
20. P. Scovanner, S. Ali, and M. Shah, "A 3-dimensional sift descriptor and its application to action recognition," in MULTIMEDIA '07. New York, NY, USA: ACM, 2007, pp. 357-360.
21. H. Ning, Y. Hu, and T. Huang, "Searching human behaviors using spatial-temporal words," in Proceedings of the IEEE International Conference on Image Processing, 2007, pp. 337-340.
22. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, "Learning realistic human actions from movies," CVPR '08, pp. 1-8, June 2008.
23. J. Liu and M. Shah, "Learning human actions via information maximization," in CVPR '08, June 2008.
24. D. C. Lay, Linear algebra and its applications, 3rd ed. New York: Addison-Wesley, 2002.
25. T. M. Mitchell, Machine Learning. New York: McGraw-Hill, 1997.
26. 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.