Semi-latent dirichlet allocation: A hierarchical model for human action recognition

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

Volumn 4814 LNCS, Issue , 2007, Pages 240-254

  Wang, Yang ^a   Sabzmeydani, Payam ^a   Mori, Greg ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GESTURE RECOGNITION; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MATHEMATICAL MODELS; PROBLEM SOLVING;

MODEL PARAMETERS; VIDEO SEQUENCES;

HIERARCHICAL SYSTEMS;

EID: 38149006407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75703-0_17     Document Type: Conference Paper

References (27)

1. Bissacco, A., Yang, M.H., Soatto, S.: Detecting humans via their pose. In: NIPS. Advances in Neural Information Processing Systems, vol. 19, pp. 169-176. MIT Press, Cambridge (2007)
2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of Machine Learning Research 3, 993-1022 (2003)
3. Bobick, A.F., Davis, J.W.: The recognition of human movement using temporal templates. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(3), 257-267 (2001)
4. Boiman, O., Irani, M.: Detecting irregularities in images and in video. In: IEEE International Conference on Computer Vision, vol. 1, pp. 462-469 (2005)
5. Bosch, A., Zisserman, A., Munoz, X.: Scene classification via pLSA. In: European Conference on Computer Vision, vol. 4, pp. 517-530 (2006)
6. Cutler, R., Davis, L.S.: Robust real-time periodic motion detection, analysis, and applications. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 781-796 (2000)
7. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior recognition via sparse spatio-temporal features. In: ICCV 2005. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (2005)
8. Efros, A.A., Berg, A.C., Mori, G., Malik, J.: Recognizing action at a distance. In: IEEE International Conference on Computer Vision, vol. 2, pp. 726-733 (2003)
9. Fei-Fei, L., Fergus, R., Perona, P.: One-shot learning of object categories. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(4), 594-611 (2006)
10. Fei-Fei, L., Perona, P.: A bayesian hierarchical model for learning natural scene categories. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 524-531 (2005)
11. Fergus, R., Fei-Fei, L., Perona, P., Zisserman, A.: Learning object categories from google's image search. In: IEEE International Conference on Computer Vision, vol. 2, pp. 1816-1823 (2005)
12. Grauman, K., Darrell, T.: The pyramid match kernel: Discriminative classification with sets of image features. In: IEEE International Conference on Computer Vision, vol. 2, pp. 1458-1465 (2005)
13. Hofmann, T.: Probabilistic latent semantic indexing. In: SIGIR. Proceedings of Twenty-Second Annual International Conference on Research and Development in Information Retrieval, pp. 50-57 (1999)
14. Ke, Y., Sukthankar, R., Hebert, M.: Efficient visual event detection using volumetric features. In: IEEE International Conference on Computer Vision, vol. 1, pp. 166-173 (2005)
15. Lazebnik, S., Schmid, C., Ponce, J.: A maximum entropy framework for part-based texture and object recognition. In: IEEE International Conference on Computer Vision, vol. 1, pp. 832-838 (2005)
16. Little, J.L., Boyd, J.E.: Recognizing people by their gait: The shape of motion. Videre 1(2), 1-32 (1998)
17. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the DARPA Image Understanding Workshop, pp. 121-130 (April 1981)
18. Minka, T.P.: Estimating a Dirichlet distribution. Technical report, Massachusetts Institute of Technology (2000)
19. Niebles, J.C., Wang, H., Fei-Fei, L.: Unsupervised learning of human action categories using spatial-temporal words. In: British Machine Vision Conference, vol. 3, pp. 1249-1258 (2006)
20. Polana, R., Nelson, R.C.: Detection and recognition of periodic, non-rigid motion. International Journal of Computer Vision 23(3), 261-282 (1997)
21. Rao, C., Yilmaz, A., Shah, M.: View-invariant representation and recognition of actions. International Journal of Computer Vision 50(2), 203-226 (2002)
22. Russell, B.C., Efros, A.A., Sivic, J., Freeman, W.T., Zisserman, A.: Using multiple segmentations to discover objects and their extent in image collections. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1605-1614 (2006)
23. Sabzmeydani, P., Mori, G.: Detecting pedestrians by learning shapelet features. In: IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society Press, Los Alamitos (2007)
24. Schuldt, C., Laptev, L., Caputo, B.: Recognizing human actions: a local SVM approach. In: IEEE International Conference on Pattern Recognition, vol. 3, pp. 32-36 (2004)
25. Sivic, J., Russell, B.C., Efros, A.A., Zisserman, A., Freeman, W.T.: Discovering objects and their location in images. In: IEEE International Conference on Computer Vision, vol. 1, pp. 370-377 (2005)
26. Sullivan, J., Carlsson, S.: Recognizing and tracking human action. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 629-644. Springer, Heidelberg (2002)
27. Zhong, H., Shi, J., Visontai, M.: Detecting unusual activity in video. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 819-826 (2004)