Human action recognition using spatio-temporal classification

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

Volumn 5995 LNCS, Issue PART 2, 2010, Pages 98-109

  Fang, Chin Hsien ^a   Chen, Ju Chin ^a   Tseng, Chien Chung ^a   Lien, Jenn Jier James ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY RATE; ACTION RECOGNITION; DISTANCE METRICS; HUMAN-ACTION RECOGNITION; K-NN CLASSIFIER; NOISY DATA; SPATIAL INFORMATIONS; SPATIO-TEMPORAL; TEMPORAL INFORMATION;

GESTURE RECOGNITION; TRUCK TRAILERS;

COMPUTER VISION;

EID: 78650526834     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12304-7_10     Document Type: Conference Paper

References (29)

1. Ali, S., Basharat, A., Shah, M.: Chaotic invariants for human action recognition. In: ICCV, pp. 1-8 (2007)
2. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. Advances in Neural Information Processing Systems 14, 585-591 (2002)
3. Bissacco, A., Chiuso, A., Ma, Y., Soatto, S.: Recognition of human gaits. CVPR 2, 52-57 (2001)
4. Bobick, A., Davis, J.: The recognition of human movement using temporal templates. PAMI 23(3), 257-267 (2001) (Pubitemid 32286632)
5. Bregler, C.: Learning and recognizing human dynamics in video sequences. In: CVPR, pp. 568-574 (1997)
6. Cai, D., He, X., Zhou, K., Han, J., Bao, H.: Locality sensitive discriminant analysis. In: IJCAI, pp. 708-713 (2007)
7. Dollar, P., Rabaud, V., Cottrell, G., Belongie, S.: Behavior recognition via sparse spatiotemporal features. In: ICCV Work-shop: VSPETS, pp. 65-72 (2005)
8. Efros, A., Berg, A., Mori, G., Malik, J.: Recognizing action at a distance. In: ICCV, vol. 2, pp. 726-733 (2003)
9. Elgammal, A., Lee, C.S.: Inferring 3D body pose from silhouettes using activity manifold learning. In: CVPR, vol. 2, pp. 681-688 (2004)
10. Gorelick, L., Blank, M., Shechtman, E., Irani, M., Basri, R.: Action as space-time shapes. PAMI 29(12), 2247-2253 (2007)
11. He, X., Niyogi, P.: Locality preserving projections. Advances in Neural Information Processing Systems 16, 153-160 (2003)
12. Jia, L.K., Yeung, D.Y.: Human Action Recognition Using Local Spatio-Temporal Discriminant Embedding. In: CVPR, pp. 1-8 (2008)
13. Ke, Y., Sukthankar, R., Hebert, M.: Efficient visual event detection using volumetric features. In: ICCV, pp. 166-173 (2005)
14. Laptev, I.: On space-time interest points. IJCV 64(2-3), 107-123 (2005)
15. Laptev, I., Marszalek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: CVPR, pp. 1-8 (2008)
16. Lv, F., Nevatia, R.: Single view human action recognition using key pose matching and Viterbi path searching. In: CVPR, pp. 1-8 (2007)
17. Niebles, J.C., Wang, H., Fei-Fei, L.: Unsupervised learn-ing of human action categories using spatial-temporal words. In: BMVC (2006)
18. Roweis, S., Saul, L.: Nonlinear dimensionality reduction by locally linear embedding. Science 22, 290(5500), 2323-2326 (2000) (Pubitemid 32041578)
19. Schuldt, C., Laptev, I., Caputo, B.: Recognizing human actions: a local SVM approach. In: ICPR, vol. 3, pp. 32-36 (2004)
20. Tenenbaum, J.B., Silva, V.D., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 22, 290(5500), 2319-2323 (2000)
21. Tran, D., Sorokin, A.: Human Activity Recognition with Metric Learning. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 548-561. Springer, Heidelberg (2008)
22. Wang, L., Ning, H.Z., Tan, T.N., Hu, W.M.: Fusion of static and dynamic body biometrics for gait recognition. In: ICCV, pp. 1449-1454 (2003)
23. Wang, L., Suter, D.: Recognizing human activities from silhouettes: motion subspace and factorial discriminative graphical model. In: CVPR, pp. 1-8 (2007)
24. Wang, L., Suter, D.: Learning and matching of dynamic shape manifolds for human action recognition. IEEE Trans. on IP 16(6), 1646-1661 (2007) (Pubitemid 46796060)
25. Wang, L., Suter, D.: Visual Learning and Recognition of Sequential Data Manifolds with Applications to Human Movement Analysis. CVIU 110(2), 153-172 (2008) (Pubitemid 351509769)
26. Weinberger, K.Q., Saul, L.K.: Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research 10, 209-244 (2009)
27. Yacoob, Y., Black, M.J.: Parameterized modeling and recognition of activities. CVIU 73(2), 232-247 (1999)
28. Yan, S., Xu, D., Zhang, B., Zhang, H.J.: Graph Embedding and Extensions: A General Framework for Dimensionality Reduction. IEEE Trans. on PAMI 29(1), 40-51 (2007) (Pubitemid 46415944)
29. Zelnik-Manor, L., Irani, M.: Event-based analysis of video. CVPR 2, 123-130 (2001)