An unsupervised framework for action recognition using actemes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6495 LNCS, Issue PART 4, 2011, Pages 592-605

  Kulkarni, Kaustubh ^a   Boyer, Edmond ^a   Horaud, Radu ^a   Kale, Amit ^b  

^a INRIA   (France)

^b Siemens Ltd India   (India)

Author keywords

[No Author keywords available]

Indexed keywords

3D DATA; ACTION MODELING; ACTION RECOGNITION; HUMAN ACTIONS; RECOGNITION ACCURACY; TRAINING DATA; TRAINING SETS;

COMPUTER VISION; IMAGE RECOGNITION;

SPEECH RECOGNITION;

EID: 79952499290     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19282-1_47     Document Type: Conference Paper

References (25)

1. Green, R.D., Guan, L.: Quantifying and recognizing human movement patterns from monocular video images-part i: a new framework for modeling human motion. IEEE Trans. Circuits Syst. Video Techn. 14, 179-190 (2004)
2. Guerra-Filho, G., Aloimonos, Y.: A language for human action. Computer 40, 42-51 (2007)
3. Bregler, C.: Learning and recognizing human dynamics in video sequences. In: CVPR (1997)
4. Lee, C.H., Soong, F., Juang, B.H.: A segment model based approach to speech recognition. In: ICASSP (1988)
5. Rabiner, L., Juang, B.: Fundamentals of Speech Recognition. Prentice-Hall, New Jersey (1993)
6. Poppe, R.: A survey on vision-based human action recognition. Image and Vision Computing 28, 976-990 (2010)
7. Yamato, J., Ohya, J., Ishii, K.: Recognizing human action in time-sequential images using hidden markov models. In: CVPR, pp. 379-385 (1992)
8. Bobick, A.F., Davis, J.W.: The recognition of human movement using temporal templates. PAMI (2001)
9. Weinland, D., Ronfard, R., Boyer, E.: Free viewpoint action recognition using motion history volumes. In: CVIU, vol. 104, pp. 249-257 (2006) (Pubitemid 44573869)
10. Weinland, D., Boyer, E., Ronfard, R.: Action recognition from arbitrary views using 3d exemplars. In: ICCV (2007)
11. Veeraraghavan, A., Chellappa, R., Roy-Chowdhury, A.K.: The function space of an activity. In: CVPR (2006)
12. Turaga, P.K., Veeraraghavan, A., Chellappa, R.: From videos to verbs: Mining videos for events using a cascade of dynamical systems. In: CVPR (2007)
13. Turaga, P.K., Veeraraghavan, A., Chellappa, R.: Statistical analysis on stiefel and grassmann manifolds with applications in computer vision. In: CVPR (2008)
14. Turaga, P.K., Chellappa, R.: Locally time-invariant models of human activities using trajectories on the grassmanian. In: CVPR (2009)
15. Kulkarni, K., Cherla, S., Kale, A., Ramasubramanian, V.: A framework for indexing human actions in video. In: ECCV Workshops (2008)
16. Carlsson, S., Sullivan, J.: Action recognition by shape matching to key frames. In: CVPR Workshops (2001)
17. Schindler, K., Gool, L.V.: Action snippets: How many frames does human action recognition require? In: CVPR (2008)
18. Weinland, D., Boyer, E.: Action recognition using exemplar-based embedding. In: CVPR (2008)
19. Ogale, A.S., Karapurkar, A., Aloimonos, Y.: View-invariant modeling and recognition of human actions using grammars. In: ICCV Workshops (2005)
20. Ney, H.: The use of one-stage dynamic programming algorithm for connected word recognition. IEEE Trans. on Acoustic Speech and Signal Processing 32(2), 263-270 (1984)
21. Ramasubramanian, V., Kulkarni, K., Kaemmerer, B.: Acoustic modeling by phoneme templates and modified one-pass dp decoding for continuous speech recognition. In: ICASSP (2008)
22. Weinland, D., Ronfard, R., Boyer, E.: Automatic discovery of action taxonomies from multiple views. In: CVPR (2006)
23. Svendsen, T., Soong, F.: On the automatic segmentation of speech signals (1987)
24. Ramasubramanian, V., Sreenivas, T.: Automatically derived units for segment vocoders. In: ICASSP, vol. 1, pp. I-473-I-476 (2004)
25. Zelinski, R., Class, F.: A learning procedure for speaker-dependent word recognition systems based on sequential processing of input tokens. In: ICASSP (1983)