Human action recognition based on semi-supervised discriminant analysis with global constraint

Neurocomputing

Volumn 105, Issue , 2013, Pages 45-50

  Zhao, Xin ^a,b   Li, Xue ^a   Pang, Chaoyi ^b   Wang, Sen ^a,b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b CSIRO   (Australia)

Author keywords

Action recognition; Dimensionality reduction; Mocap data; Semi supervised learning; Skeleton data

Indexed keywords

ACTION RECOGNITION; DIMENSIONALITY REDUCTION; MOCAP DATA; SEMI-SUPERVISED LEARNING; SKELETON DATA;

ALGORITHMS; CAMERAS; DISCRIMINANT ANALYSIS; GESTURE RECOGNITION; MUSCULOSKELETAL SYSTEM; PATTERN RECOGNITION; SUPERVISED LEARNING;

MOTION ESTIMATION;

ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; DISCRIMINANT ANALYSIS; HUMAN ACTION RECOGNITION; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MOTION ANALYSIS SYSTEM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEMI SUPERVISED DISCRIMINANT ANALYSIS GLOBAL CONSTRAINT;

EID: 84875397507     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.04.038     Document Type: Article

References (24)

1. J. Aggarwal, Q. Cai, Human motion analysis: a review, in: Nonrigid and Articulated Motion Workshop, 1997, pp. 90-102.
2. Aggarwal J., Ryoo M. Human activity analysis. a review. ACM Comput. Surv. 2011, 43(3):16.
3. M. Belkin, P. Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering, in: NIPS, vol. 1, 2002, pp. 585-592.
4. D. Cai, X. He, J. Han, Semi-supervised discriminant analysis, in: ICCV, 2007, pp. 1-7.
5. L. Campbell, A. Bobick, Recognition of human body motion using phase space constraints, in: ICCV, 1995, p. 624.
6. Fukunaga K. Introduction to Statistical Pattern Classification 1990, Academic Press, San Diego, CA, USA.
7. X. He, P. Niyogi, Locality preserving projections, in: NIPS, vol. 103, 2004.
8. Johansson G. Visual Motion Perception 1975, Scientific American.
9. I. Jolliffe, Principal component analysis, , in press. http://dx.doi.org/10.1002/0470013192.bsa501.
10. Laptev I. On space-time interest points. Int. J. Comput. Vision 2005, 64(2):107-123.
11. I. Laptev, M. Marszalek, C. Schmid, B. Rozenfeld, Learning realistic human actions from movies, in: CVPR, 2008, pp. 1-8.
12. Moeslund T., Granum E. A survey of computer vision-based human motion capture. Comput. Vision Image Understanding 2001, 81(3):231-268.
13. F. Nie, S. Xiang, Y. Jia, C. Zhang, S. Yan, Trace ratio criterion for feature selection, in: AAAI, 2008, pp. 671-676.
14. Poppe R. A survey on vision-based human action recognition. Image Vision Comput. 2010, 28(6):976-990.
15. M. Ryoo, J. Aggarwal, Spatio-temporal relationship match: video structure comparison for recognition of complex human activities, in: ICCV, 2009, pp. 1593-1600.
16. L. Schwarz, D. Mateus, V. Castañeda, N. Navab, Manifold learning for tof-based human body tracking and activity recognition, in: BWCV, 2010, pp. 1-11.
17. Y. Sheikh, M. Sheikh, M. Shah, Exploring the space of a human action, in: ICCV, vol. 1, 2005, pp. 144-149.
18. J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, A. Blake, Real-time human pose recognition in parts from single depth images, in: CVPR, 2011.
19. L. Sigal, M. Black, Humaneva: synchronized video and motion capture dataset for evaluation of articulated human motion, Brown Univertsity TR 120, 2006.
20. Sugiyama M., Idé T., Nakajima S., Sese J. Semi-supervised local fisher discriminant analysis for dimensionality reduction. Mach. Learn. 2010, 78(1):35-61.
21. A. Veeraraghavan, R. Chellappa, A. Roy-Chowdhury, The function space of an activity, in: CVPR, vol. 1, 2006, pp. 959-968.
22. Y. Yang, F. Nie, D. Xu, J. Luo, Y. Zhuang, Y. Pan, 2011. A multimedia retrieval framework based on semi-supervised ranking and relevance feedback, IEEE Trans. PAMI (99) (2011) 1.
23. Yang Y., Zhuang Y., Wu F., Pan Y. Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval. IEEE Trans. Multimedia 2008, 10(3):437-446.
24. F. Zhou, F. Torre, J. Hodgins, Aligned cluster analysis for temporal segmentation of human motion, in: IEEE International Conference on Automatic Face and Gesture Recognition, 2008, pp. 1-7.