Action signature: A novel holistic representation for action recognition

Proceedings - IEEE 5th International Conference on Advanced Video and Signal Based Surveillance, AVSS 2008

Volumn , Issue , 2008, Pages 121-128

  Calderara, Simone ^a   Cucchiara, Rita ^a   Prati, Andrea ^a  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

SYSTEMS ENGINEERING;

2D IMAGES; ACTION RECOGNITION; MOTION FEATURES; OBJECT MOTIONS; SEQUENCE ALIGNMENTS; STATISTICAL FRAMEWORKS; VON MISES DISTRIBUTIONS;

SECURITY SYSTEMS;

EID: 60849088890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2008.32     Document Type: Conference Paper

References (18)

1. C. Bishop. Pattern Recognition and Machine Learning. Springer-Verlag, 2006.
2. A. Bobick and J. Davis. The recognition of human movement using temporal templates. IEEE Trans. on PAMI, 23(3):257-267, Mar. 2001.
3. S. Calderara, R. Cucchiara, and A. Prati. Detection of abnormal behaviors using a mixture of von mises distributions. In Proc. of IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2007), pages 36-41, 2007.
4. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati. Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. on PAMI, 25(10): 1337-1342, Oct. 2003.
5. R. Cucchiara, C. Grana, A. Prati, and R. Vezzani. Probabilistic posture classification for human-behavior analysis. IEEE Trans. on Systems, Man, and Cybernetics - Part A, 35(1 ):42-54, Jan. 2005.
6. R. Fisher. Dispersion on a sphere. Proc. Roy. Soc. London Ser. A., 217:295-305, 1953.
7. D. M. Gavrila. The visual analysis of human movement: A survey. Computer Vision and Image Understanding, 73(l):82-98, Jan 1999.
8. D. M. Gavrila and L. S. Davis. 3d model-based tracking of humans in action: A multiview approach. In Proc. of IEEE Int'l Conference on Computer Vision and Pattern Recognition, pages 73-80, 1996.
9. L. Goncalves, E. DiBernardo, E. Ursella, and P. Perona. Monocular tracking of the human arm in 3d. In Proc. of IEEE Intl Conference on Computer Vision, pages 764-770, 1995.
10. D. Gusfield. Algorithms on Strings, Trees, and Sequences. Cambridge University Press, 1997.
11. Y. Ke, R. Sukthankar, and M. Hebert. Spatio-temporal shape and flow correlation for action recognition. In Proc. of IEEE Int'l Conference on Computer Vision and Pattern Recognition, pages 1-8, 2007.
12. I. Laptev and T. Lindeberg. Space-time interest points. In Proc. of IEEE Intl Conference on Computer Vision, volume 1, pages 432 - 439, 2003.
13. K. Mardia and P. Jupp. Directional Statistics. Wiley,'00.
14. J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. In Proc of British Machine Vision Conference, volume 3, pages 1249-1259, 2006.
15. J. Regh and T. Kanade. Model based tracking of self occluding articulated objects. In Proc. of IEEE Intl Conference on Computer Vision, pages 612-617, 1995.
16. A. Reynolds, G. Richards, and V. Rayward-Smith. The Application of K-Medoids and PAM to the Clustering of Rules, volume 3177/2004, pages 173-178. Springer Berlin / Heidelberg.
17. E. Shechtman and M. Irani. Space-time behavior correlation -or- how to tell if two underlying motion fields are similar without computing them? IEEE Trans. on PAMI, 2007.
18. A. Yilmaz and M. Shah. Action sketch: A novel action representation. In Proc. of IEEE Int'l Conference on Computer Vision and Pattern Recognition, volume 1, pages 984-989, 2005.