Action recognition using direction models of motion

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 4295-4298

  Benabbas, Yassine ^a   Lablack, Adel ^a   Ihaddadene, Nacim ^a   Djeraba, Chabane ^a  

^a UNIV LILLE   (France)

Author keywords

Action recognition; Motion analysis; Von Mises distribution

Indexed keywords

ACTION RECOGNITION; DATA SETS; DISTANCE METRICS; DISTRIBUTION MIXTURES; FLOW ORIENTATIONS; HUMAN ACTIONS; HUMAN-ACTION RECOGNITION; MID-LEVEL FEATURES; MOTION ANALYSIS; QUERY SEQUENCE; SPATIAL LOCATION; STATISTICAL MODELS; TRAINING SEQUENCES; VIDEO SEQUENCES; VON MISES DISTRIBUTION;

GESTURE RECOGNITION; VIDEO RECORDING;

OPTICAL FLOWS;

EID: 78149489165     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.1044     Document Type: Conference Paper

References (16)

1. P. Turaga, R. Chellappa, V. S. Subrahmanian, and O. Udrea, "Machine recognition of human activities: A survey," IEEE Transactions on Circuits and Systems for Video Technology, vol. 18, no. 11, pp. 1473-1488, 2008.
2. J. K. Aggarwal and Q. Cai, "Human motion analysis: a review," in IEEE Workshop on Nonrigid and Articulated Motion, 1997, pp. 90-102.
3. I. Laptev and T. Lindeberg, "Velocity adaptation of space-time interest points," in International Conference on Pattern Recognition (ICPR), vol. 1, 2004, pp. 52-56.
4. L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri, "Actions as space-time shapes," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 12, pp. 2247-2253, December 2007.
5. R. Messing, C. Pal, and H. Kautz, "Activity recognition using the velocity histories of tracked keypoints," in International Conference on Computer Vision (ICCV), 2009.
6. M. Marszałek, I. Laptev, and C. Schmid, "Actions in context," in International Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
7. A. Yilmaz and M. Shah, "Actions sketch: A novel action representation," in International Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, 2005, pp. 984-989.
8. S. Ali and M. Shah, "Human action recognition in videos using kinematic features and multipleinstance learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 32, no. 2, pp. 288-303, 2010.
9. C. Achard, X. Qu, A. Mokhber, and M. Milgram, "A novel approach for recognition of human actions with semi-global features," Machihne Vision and Applications, vol. 19, no. 1, pp. 27-34, 2008.
10. A. Fathi and G. Mori, "Action recognition by learning midlevel motion features," in International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage - USA, 2008.
11. T. Mauthner, P. M. Roth, and H. Bischof, "Instant action recognition," in 16th Scandinavian Conference on Image Analysis (SCIA), 2009, pp. 1-10.
12. W. Yang, Y. Wang, and G. Mori, "Efficient human action detection using a transferable distance function," in Asian Conference on Computer Vision (ACCV), 2009.
13. B. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision," in International Joint Conference on Artificial Intelligence (IJCAI), 1981, pp. 674-679.
14. P. Kaewtrakulpong and R. Bowden, "An improved adaptive background mixture model for realtime tracking with shadow detection," in 2nd European Workshop on Advanced Video Based Surveillance Systems, 2001.
15. P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie, "Behavior recognition via sparse spatio-temporal features," in 2nd International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (PETS), 2005, pp. 65-72.
16. A. F. Bobick and J. W. Davis, "The recognition of human movement using temporal templates," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 23, pp. 257-267, 2001.