Local trinary patterns for human action recognition

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 492-497

  Yeffet, Lahav ^a   Wolf, Lior ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; DATA SETS; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; LOCAL BINARY PATTERNS; MOTION RECOGNITION; PATCH MATCHING; SPORTS VIDEO; STATE-OF-THE-ART PERFORMANCE; TIME USE;

GESTURE RECOGNITION;

COMPUTER VISION;

EID: 77953205594     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459201     Document Type: Conference Paper

References (23)

1. S. Ali, A. Basharat, and M. Shah. Chaotic invariants for human action recognition. ICCV, Oct. 2007.
2. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. CVPR, 2005.
3. D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-rigid objects using mean shift. In CVPR, 2000.
4. P. Dollár, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, October 2005.
5. A. A. Efros, A. C. Berg, G. Mori, and J. Malik. Recognizing action at a distance. In ICCV, 2003.
6. A. Fathi and G. Mori. Action recognition by learning mid-level motion features. CVPR, 2008.
7. M. Heikkilä, M. Pietikäinen, and C. Schmid. Description of interest regions with center-symmetric local binary patterns. In Computer Vision, Graphics and Image Processing, 5th Indian Conference, pages 58-69, 2006.
8. H. Jhuang, T. Serre, L. Wolf, and T. Poggio. A biologically inspired system for action recognition. In ICCV, pages 1-8, 2007.
9. V. Kellokumpu, G. Zhao, and M. Pietikainen. Human activity recognition using a dynamic texture based method. In BMVC, 2008.
10. A. Klaeser, M. Marszalek, and C. Schmid. A spatio-temporal descriptor based on 3d-gradients. In BMVC, 2008.
11. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, 2008.
12. J. Niebles and F. Li. A hierarchical model of shape and appearance for human action classification. In CVPR, 2007.
13. T. Ojala, M. Pietikäinen, and T. Mäenpää. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI, 24(7):971-987, 2002.
14. M. Rodriguez, J. Ahmed, and M. Shah. Action mach a spatio-temporal maximum average correlation height filter for action recognition. In CVPR, 2008.
15. K. Schindler and L. van Gool. Action snippets: How many frames does human action recognition require? CVPR, 2008.
16. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004.
17. E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In CVPR, June 2007.
18. X. Tan and B. Triggs. Enhanced local texture feature sets for face recognition under difficult lighting conditions. In International Workshop on Analysis and Modeling of Faces and Gestures, 2007.
19. P. Viola and M. Jones. Robust real-time object detection. International Journal of Computer Vision - to appear, 2002.
20. L. Wang and D. Suter. Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model. In CVPR, 2007.
21. D. Weinland and E. Boyer. Action recognition using exemplar-based embedding. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, pages 1-7, 2008.
22. L. Wolf, T. Hassner, and Y. Taigman. Descriptor based methods in the wild. In Faces in Real-Life Images ECCV workshop, 2008.
23. C. Yang, Y. Guo, H. S. Sawhney, and R. Kumar. Learning actions using robust string kernels. In A. M. Elgammal, B. Rosenhahn, and R. Klette, editors, Workshop on Human Motion, volume 4814 of Lecture Notes in Computer Science, pages 313-327. Springer, 2007.