Trajectons: Action recognition through the motion analysis of tracked features

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Volumn , Issue , 2009, Pages 514-521

  Matikainen, Pyry ^a   Hebert, Martial ^a   Sukthankar, Rahul ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; BAG OF WORDS; COMPUTATIONALLY EFFICIENT; DATA SETS; FEATURE-TRACKING; MOTION ANALYSIS; MOTION FEATURES; MOTION TECHNIQUES; STATE OF THE ART; STILL IMAGES; VIDEO SEARCH; YOUTUBE;

COMPUTER VISION; OPTICAL FLOWS;

FEATURE EXTRACTION;

EID: 77953178862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457659     Document Type: Conference Paper

References (23)

1. S. Ali, A. Basharat, and M. Shah. Chaotic invariants for human action recognition. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2007.
2. S. Birchfield. KLT: An implementation of the Kanade-Lucas-Tomasi feature tracker, 2007.
3. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri. Actions as space-time shapes. In Proceedings of International Conference on Computer Vision, 2005.
4. C.-C. Chang and C.-J. Lin. LIBSVM - a library for support vector machines, 2001.
5. O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman. Total Recall: Automatic query expansion with a generative feature model for object retrieval. In Proceedings of International Conference on Computer Vision, 2007.
6. G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In In Workshop on Statistical Learning in Computer Vision, ECCV, 2004.
7. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VS-PETS, 2005.
8. A. Fathi and G. Mori. Action recognition by learning mid-level motion features. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
9. I. N. Junejo, E. Dexter, I. Laptev, and P. Pérez. Cross-view action recognition from temporal selfsimilarities. In Proceedings of European Conference on Computer Vision, 2008.
10. Y. Ke, R. Sukthankar, and M. Hebert. Event detection in crowded videos. In Proceedings of International Conference on Computer Vision, June 2007.
11. I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld. Learning realistic human actions from movies. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
12. O. Masoud and N. Papanikolopoulos. A method for human action recognition. Image and Vision Computing, 21:729-743, 2003.
13. V. Rabaud and S. Belongie. Re-thinking non-rigid structure from motion. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
14. C. Rao, A. Yilmaz, and M. Shah. View-invariant representation and recognition of actions. International Journal of Computer Vision, 50(2), 2002.
15. L. W. Renninger and J. Malik. When is scene identification just texture recognition? Vision Research, 44(19), 2004.
16. M. Rodriguez, J. Ahmed, and M. Shah. Action MACH: a spatio-temporal maximum average correlation height filter for action recognition. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
17. C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: a local svm approach. In Proceedings of International Conference on Pattern Recognition, 2004.
18. E. Shechtman and M. Irani. Space-time behaviorbased correlation - or - how to tell if two underlying motion fields are similar without computing them? IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(11), 2007.
19. S. Vitaladevuni, V. Kellokumpu, and L. Davis. Action recognition using ballistic dynamics. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
20. D. Weinland, R. Ronfard, and E. Boyer. Free viewpoint action recognition using motion history volumes. Computer Vision and Image Understanding, 104(2), 2006.
21. J. Winn, A. Criminisi, and T. Minka. Object categorization by learned universal visual dictionary. In Proceedings of International Conference on Computer Vision, 2005.
22. P. Yan, S. Khan, and M. Shah. Learning 4D action feature models for arbitrary view action recognition. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2008.
23. A. Yilmaz and M. Shah. Actions sketch: A novel action representation. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 2005.