Incremental discriminant-analysis of canonical correlations for action recognition

Pattern Recognition

Volumn 43, Issue 12, 2010, Pages 4190-4197

  Wu, Xinxiao ^a   Jia, Yunde ^a   Liang, Wei ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Computer vision; Human action recognition; Incremental discriminant analysis

Indexed keywords

ACTION RECOGNITION; CANONICAL CORRELATIONS; CHANGING ENVIRONMENT; DATA SETS; DISCRIMINATIVE MODELS; EIGENSPACES; GRAPH-BASED; HUMAN-ACTION RECOGNITION; INCREMENTAL DISCRIMINANT-ANALYSIS; LABELED TRAINING DATA; MATRIX; MERGING ALGORITHMS; NON-RIGID DEFORMATION; ON-LINE RECOGNITION; PARTIAL OCCLUSIONS; SEMI-SUPERVISED LEARNING METHODS; STATE-OF-THE-ART METHODS; TRAINING SAMPLE; TRAINING SETS; VIDEO SEQUENCES;

COMPUTER VISION; SUPERVISED LEARNING; VIDEO RECORDING;

GESTURE RECOGNITION;

EID: 77957018635     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.07.012     Document Type: Article

References (25)

1. P. Hall, D. Marshall, and R. Martin Merging and splitting eigenspace models IEEE Transactions on Pattern Analysis and Machine Learning 22 9 2000 1042 1049
2. F. Wang, and C.S. Zhang Label propagation through linear neighborhoods IEEE Transactions on Knowledge and Data Engineering. 20 1 2008 55 67
3. X.X. Wu, W. Liang, and Y.D. Jia Incremental discriminative-analysis of canonical correlations for action recognition IEEE 12th International Conference on Computer Vision 2009 2035 2041
4. L. Wang, and D. Suter Recognizing human activities from silhouettes: motion subspace and factorial discriminative graphical model IEEE Conference on Computer Vision and Pattern Recognition 2007
5. K. Jia, and D.Y. Yeung Human action recognition using local spatio-temporal discriminant embedding IEEE Conference on Computer Vision and Pattern Recognition 2008
6. M.D. Rodriguez, J. Ahmed, and M. Shah Action MACH: a spatio-temporal maximum average correlation height filter for action recognition IEEE Conference on Computer Vision and Pattern Recognition 2008
7. H. Jhuang, T. Serre, L. Wolf, and T. Poggio A biologically inspired system for action recognition IEEE 11th International Conference on Computer Vision 2007
8. J.C. Niebles, and F.F. Li A hierarchical model of shape and appearance for human action classification IEEE Conference on Computer Vision and Pattern Recognition 2007
9. S. Savarese, A. DelPozo, J.C. Niebles, F.F. Li, Spatial-temporal correlatons for unsupervised action classification, IEEE Workshop on Motion and Video Computing, 2008.
10. C. Schuldt, I. Laptev, and B. Caputo Recognizing human actions: a local SVM approach 17th International Conference on Pattern Recognition 3 2004 32 36
11. J.C. Niebles, H.C. Wang, and F.F. Li Unsupervised learning of human action categories using spatial-temporal words International Journal of Computer Vision 70 3 2008 299 318
12. P. Dollar, V. Rabaud, G. Cottrell, S. Belongie, Behavior recognition via sparse spatio-temporal features, in: Proceedings of the Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005, pp. 6572.
13. Z.M. Zhang, Y.Q. Hu, S. Chan, L.T. Chia, Motion context: a new representation for human action recognition, in: Proceedings of the Tenth European Conference on Computer Vision, 2008, pp. 817829.
14. P. Scovanner, S. Ali, M. Shah, A 3-dimensional sift descriptor and its application to action recognition, in: Proceedings of the 15th International Conference on Multimedia, 2007, pp. 357360.
15. P. M. Hall, D. Marshall, R. Martin, Incremental eigenanalysis for classification, in: Proceedings of the British Machine Vision Conference, 1998.
16. S.N. Pang, S. Ozawa, and N. Kasabov Incremental linear discriminant analysis for classification of data streams IEEE Transactions on Systems, Man and Cybernetics-Part B: Cybernetics 35 5 2005 905 914
17. T.K. Kim, S.F. Wong, B. Stenger, J. Kittler, and R. Cipolla Incremental linear discriminant analysis using sufficient spanning set approximations IEEE Conference on Computer Vision and Pattern Recognition 2007
18. R.S. Lin, D. Ross, J. Lim, and M.H. Yang Adaptive discriminative generative model and its applications Advances in Neural Information Processing Systems 2004 801 808
19. T.K. Kim, J. Kittler, and R. Cipolla Incremental learning of locally orthogonal subspaces for set-based object recognition British Machine Vision Conference 2006 559 568
20. T.K. Kim, J. Kittler, and R. Cipolla Discriminative learning and recognition of image set classes using canonical correlations IEEE Transactions on Pattern Analysis and Machine Intelligence 29 6 2007 1005 1018
21. M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri Actions as space-time shapes IEEE 10th International Conference on Computer Vision 2 2005 1395 1402
22. M. Bregonzio, S.G. Gong, and T. Xiang Recognizing action as clouds of space-time interest points IEEE Conference on Computer Vision and Pattern Recognition 2009 1948 1955
23. S. Ali, A. Basharat, and M. Shah Chaotic invariants for human action recognition IEEE 11th International Conference on Computer Vision 2007
24. A. Bissacco, M.H. Yang, and S. Soatto Fast human pose estimation using appearance and motion via multi-dimensional boosting regression IEEE Conference on Computer Vision and Pattern Recognition 2007
25. Y. Wang, P. Sabzmeydani, G. Mori, Semi-latent dirichlet allocation: a hierarchical model for human action recognition, in: IEEE International Conference on Computer Vision Workshop on Human Motion Understanding, Modeling, Capture and Animation, 2007