Human action recognition based on skeleton splitting

Expert Systems with Applications

Volumn 40, Issue 17, 2013, Pages 6848-6855

  Yoon, Sang Min ^a   Kuijper, Arjan ^b  

^a Kookmin University   (South Korea)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Diffusion tensor fields; Human action recognition; Skeleton

Indexed keywords

BASIC ACTIONS; DIFFUSION TENSOR FIELDS; HUMAN BODIES; HUMAN-ACTION RECOGNITION; MULTIPLE KERNELS; SKELETON;

FEATURE EXTRACTION; MUSCULOSKELETAL SYSTEM; VIDEO STREAMING;

GESTURE RECOGNITION;

EID: 84880383053     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.06.024     Document Type: Article

References (47)

1. P. Basser, J. Mattiello, and D.L. Bihan Estimation of the effective self-diffusion tensor from the nmr spin echo Journal of Magnetic Resonance B 103 3 1994 247 254
2. A. Bazzani, A. Bevilacqua, D. Bollini, R. Bevilacquaz, R. Brancaccio, and N. Lanconelli An svm classifier to separate false signals from microcalcifications in digital mammograms Physics in Medicine and Biology 2001 1651 1663 (Pubitemid 32519745)
3. A. Bazzani, A. Bevilacqua, D. Bollini, R. Bevilacquaz, R. Brancaccio, and N. Lanconelli An svm classifier to separate false signals from microcalcifications in digital mammograms Physics in Medicine and Biology 46 2001 1651 1663 (Pubitemid 32519745)
4. I. Bitter, A.E. Kaufman, and M. Sato Penalized-distance volumetric skeleton algorithm IEEE Transactions on Visualization and Computer Graphics 7 2001 195 206 (Pubitemid 32945805)
5. H. Blum A transformation for extracting new descriptors of shape W. Wathen-Dunn, Models for the perception of speech and visual form 1967 MIT Press Cambridge 362 380
6. A.F. Bobick, J.W. Davis, I.C. Society, and I.C. Society The recognition of human movement using temporal templates IEEE Transactions on Pattern Analysis and Machine Intelligence 23 2001 257 267 (Pubitemid 32286632)
7. G. Borgefors, I. Nyström, and S.G. Di Baja Computing skeletons in three dimensions Pattern Recognition 32 7 1999 1225 1236
8. Bregler, C., & Malik, J. (1998). Tracking people with twists and exponential maps. In Proceedings. 1998 IEEE computer society conference on computer vision and pattern recognition, 1998 (pp. 8-15). http://dx.doi.org/10. 1109/CVPR.1998.698581
9. A.A. Chaaraoui, P. Climent-Pérez, and F. Flórez-Revuelta A review on vision techniques applied to human behaviour analysis for ambient-assisted living Expert Systems with Applications 39 12 2012 10873 10888
10. Danafar, S., & Gheissari, N. (2007). Action recognition for surveillance applications using optic flow and svm. In Proceedings of ACCV (pp. 457-466).
11. T. Delmarcelle, and L. Hesselink The topology of symmetric, second-order tensor fields Proceedings of the conference on visualization '94 1994 IEEE Computer Society Press Los Alamitos, CA, USA 140 147 http://portal.acm.org/ citation.cfm?id=951087.951115
12. Deutscher, J., Blake, A., & Reid, I. (2000). Articulated body motion capture by annealed particle filtering. In Proceedings. IEEE conference on computer vision and pattern recognition, 2000 (Vol. 2, pp. 126-133). http://dx.doi.org/10.1109/CVPR.2000.854758
13. G. Diraco, A. Leone, and P. Siciliano Human posture recognition with a time-of-flight 3d sensor for in-home applications Expert Systems with Applications 40 2 2013 744 751
14. Doretto, G., Cremers, D., Favaro, P., & Soatto, S. (2003). Dynamic texture segmentation. In IEEE International conference on computer vision 2003 (pp. 1236-1242).
15. Efros, A. A., Berg, A. C., Berg, E. C., Mori, G., & Malik, J. (2003). Recognizing action at a distance. In ICCV 2003 (pp. 726-733).
16. S. Engel, and J. Rubin Detecting visual motion boundaries WMRA 86 1986 107 111
17. A. Fernández-Caballero, J.C. Castillo, and J.M. Rodríguez-Sánchez Human activity monitoring by local and global finite state machines Expert Systems with Applications 39 8 2012 6982 6993
18. D.M. Gavrila, and L.S. Davis Towards 3-d model-based tracking and recognition of human movement: a multi-view approach international workshop on automatic face- and gesture-recognition 1995 1995 IEEE Computer Society 272 277
19. Hoey, J., & Little, J.J. (2000). Representation and recognition of complex human motion. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (Vol. 1, pp. 752-759).
20. E.W. Hsu, A.L. Muzikant, S.A. Matulevicius, R.C. Penland, and C.S. Henriquez Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation American Journal of Physiology 274 5 pt 2 1998 1627 1634
21. M. Irani, P. An, and M. Cohen Direct recovery of planar-parallax from multiple frames ICCV99 workshop: Vision algorithms 99 1999 Springer-Verlag Corfu 1528 1534
22. M. Kass, A. Witkin, and D. Terzopoulos Snakes: Active contour models International Journal of Computer Vision 1 4 1988 321 331
23. J. Kniss, G. Kindlmann, and C. Hansen Multidimensional transfer functions for interactive volume rendering IEEE Transactions on Visualization and Computer Graphics 8 2002 270 285 http://doi.ieeecomputersociety.org/10.1109/ TVCG.2002.1021579
24. A. Kuijper Deriving the medial axis with geometrical arguments for planar shapes Pattern Recognition Letters 28 15 2007 2011 2018 (Pubitemid 47418313)
25. Kuijper, A., & Olsen, O. (2005). Geometrical skeletonization using the symmetry set. In IEEE proceedings of the international conference on image processing - ICIP 2005, Genova, Italy, 11-13 September, 2005 (Vol. I, pp. 497-500). (Pubitemid 44538687)
26. N. Li, S. Dettmer, and M. Shah Visually recognizing speech using eigensequences M. Shah, R. Jain, Motion-based recognition 1997 Kluwer Academic Publishing 345 371
27. Y.-L. Lin, and M.-J.J. Wang Constructing 3d human model from front and side images Expert Systems with Applications 39 5 2012 5012 5018
28. C. Liu, B. Acar, and M.E. Moseley Characterizing non-Gaussian diffusion by using generalized diffusion tensors Magnetic Resonance in Medicine 51 5 2004 924 937 (Pubitemid 38580604)
29. Ma, W. C., Wu, F. C., & Ouhyoung, M. (2003). Skeleton extraction of 3d objects with radial basis functions. In Proceedings of shape modeling international 2003 (pp. 207-215).
30. Niebles, J. C., Wang, H., & Fei-fei, L. (2006). Unsupervised learning of human action categories using spatial-temporal words. In Proceedings of the british machine vision conference 2006 Edinburgh, UK, September 4-7 (pp. 1249-1258).
31. H. Ning, W. Xu, Y. Gong, and T. Huang Latent pose estimator for continuous action recognition Computer vision - ECCV 2008, 10th european conference on computer vision, Marseille, France, October 12-18, 2008, proceedings, Part II Lecture notes in computer science Vol. 5303 2008 Springer 419 433
32. S. Pajevic, and C. Pierpaoli Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain Magnetic Resonance in Medicine 42 3 1999 526 540 (Pubitemid 29416214)
33. Polana, R., & Nelson, R. C. (1992). Recognition of motion from temporal texture. In Proc. computer vision and pattern recognition 1992 (pp. 129-134).
34. C. Rao, A. Yilmaz, and M. Shah View-invariant representation and recognition of actions International Journal of Computer Vision 50 2002 203 226 10.1023/A:1020350100748 (Pubitemid 35311927)
35. K. Rohr Human movement analysis based on explicit motion models M. Shah, R. Jain, Motion-based recognition Computational imaging and vision Vol. 9 1997 Springer Netherlands 171 198
36. Roth, P., Mauthner, T., Khan, I., & Bischof, H. (2009). Efficient human action recognition by cascaded linear classifcation. In 2009 IEEE 12th international conference on computer vision workshops (ICCV Workshops) (pp. 546-553). http://dx.doi.org/10.1109/ICCVW.2009.5457655.
37. Rubin, J. M., & Richards, W. A. (1985). Boundaries of visual motion, Tech. Rep., MIT AI Lab.
38. D.F. Scollan, A. Holmes, R. Winslow, and J. Forder Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging American Journal of Physiology 275 6 pt 2 1998 2308 2318
39. Sebastian, T. B., & Kimia, B. B. (2001). Curves vs skeletons in object recognition. In IEEE international conference of image processing 2001 (pp. 247-263).
40. D.G. Taylor, and M.C. Bushell The spatial mapping of translational diffusion coefficients by the nmr imaging technique Physics in Medicine and Biology 30 4 1985 345
41. Wang, Y., & Mori, G. (2009). Max-margin hidden conditional random fields for human action recognition. In 2009 IEEE computer society conference on computer vision and pattern recognition (CVPR 2009) 20-25 June 2009, Miami, Florida, USA (pp. 872-879).
42. L. Wei, Y. Yang, R.M. Nishikawa, and Y. Jiang A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications IEEE transaction on Medial Imaging 2005 371 380
43. Yeo, C., Ahammad, P., Ramch, K., & Sastry, S. S. (2006). Compressed domain real-time action recognition. In Proceedings of 8th IEEE international workshop on multimedia signal processing (MMSP) (pp. 33-36).
44. Yoon, S. M., & Kuijper, A. (2010). 3D human action recognition using model segmentation. In International conference on image analysis and recognition - ICIAR 2010 (June 21-23, 2010, Povoa de Varzim, Portugal). LNCS (Vol. 6111, pp. 189-199).
45. S.M. Yoon, and A. Kuijper Human action recognition using segmented skeletal features 20th International conference on pattern recognition - ICPR2010 (Istanbul, Turkey, August 23-26, 2010) 2010 IEEE 3740 3743
46. Z. Yu, C. Bajaj, and R. Bajaj Normalized gradient vector diffusion and image segmentation Proceedings of ECCV 2002 Springer 517 530
47. Zelnik-manor, L., & Irani, M. (2001). Event-based analysis of video. In Proc. CVPR 2001 (pp. 123-130).