Matching trajectories of anatomical landmarks under viewpoint, anthropometric and temporal transforms

International Journal of Computer Vision

Volumn 84, Issue 3, 2009, Pages 325-343

  Gritai, Alexei ^a   Sheikh, Yaser ^b   Rao, Cen ^c   Shah, Mubarak ^d  

^a Cernium Corporation   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c PVI Virtual Media Services   (United States)

^d UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Applications; Human Information Processing; Motion; Trajectory matching

Indexed keywords

ACROSS TIME; ANATOMICAL LANDMARKS; DIFFERENT SIZES; DYNAMIC TIME WARPING; EPIPOLAR GEOMETRY; GEOMETRIC CONSTRAINT; HUMAN BODIES; HUMAN INFORMATION PROCESSING; IMAGE MEASUREMENTS; LINEAR TIME; MOTION; QUANTITATIVE EVALUATION; SEMANTIC CORRESPONDENCE; TEMPORAL TRANSFORMS; TIME WARP; TRAJECTORY MATCHING;

ANTHROPOMETRY; BIONICS; MACHINERY; TRAJECTORIES;

WEAVING;

EID: 67349166477     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-009-0239-8     Document Type: Article

References (75)

1. J. Aggarwal Q. Cai 1999 Human motion analysis: a review Computer Vision and Image Understanding 73 3 428 440
2. Aggarwal, J., & Park, S. (2004). Human motion: modeling and recognition of actions and interactions. In Second international symposium on 3d data processing, visualization and transmission, 2004.
3. K. Akita 1984 Image sequence analysis of real world human motion Pattern Recognition 17 1 73
4. Ayers, D., & Shah, M. (1998). Recognizing human actions in a static room. In Proc. IEEE workshop on applications of computer vision, WACV'98 (pp. 42-47) 1998.
5. Badler, N., Philips, C., & Webber, B. (1993). Simulating humans. London: Oxford University Press.
6. Black, M., & Jepson, A. (1998). Eigentracking: robust matching and tracking of articulated objects using a view-based representation. In European conference on computer vision (pp. 63-84) 1998. (Pubitemid 128513060)
7. Black, M., & Yacoob, Y. (1995). Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion. In IEEE international conference on computer vision (pp. 374-381) June 1995.
8. S. Blakemore J. Decety 2004 From the perception of action to the understanding of intention Nature Reviews 2 1 561
9. Blank, M., Gorelick, L., Shechtman, E., Irani, M., & Basri, R. (2005). Actions as space-time shapes. In Proceedings of the IEEE international conference on computer vision (pp. 1395-1402) 2005. (Pubitemid 44042342)
10. Bobick, A. F., & Ivanov, Y. (1998). Action recognition using probabilistic parsing. In Proceedings of the IEEE international conference on computer vision and pattern recognition (pp. 196-202) Santa Barbara, CA, 1998.
11. Boiman, O., & Irani, M. (2005). Detecting irregularities in images and in video. In Proceedings of the IEEE international conference on computer vision, Oct. 2005.
12. Bregler, C., Hertzmann, A., & Biermann, H. (2000). Recovering non-rigid 3d shape from image streams. In IEEE international conference on computer vision and pattern recognition (pp. 13-15) 2000.
13. Bridger, R. (1982). Human performance engineering: a guide for system designers. New York: Prentice Hall.
14. Bridger, R. (1995). Introduction to ergonomics. New York: McGraw-Hill.
15. Burns, J., Weiss, R., & Riseman, E. (1992). The non-existence of general-case view-invariants. In J. Mundy & A. Zisserman (Eds.) Geometric invariance in computer vision.
16. H. Buxton 2003 Learning and understanding dynamic scene activity: a review Image and Vision Computing 21 125 136
17. Campbell, L. W., Becker, D. A., Azarbayejani, A., Bobick, A. F., & Pentland, A. (1996). Invariant features for 3d gesture recognition. In Proceedings, international conference on automatic face and gesture recognition (pp. 157-162) 1996.
18. Caspi, Y., & Irani, M. (2000). A step towards sequence-to-sequence alignment. In Proceedings of the IEEE international conference on computer vision and pattern recognition (pp. 682-689) 2000.
19. C. Cedras M. Shah 1995 Motion-based recognition: a survey Image and Vision Computing 13 2 129 155
20. A. Daems K. Verfaillie 1999 Viewpoint-dependent priming effects in the perception of human actions and body postures Visual Cognition 6 665 693
21. T. J. Darrell I. A. Essa A. P. Pentland 1995 Task-specific gesture analysis in real-time using interpolated views IEEE Transactions on Pattern Analysis and Machine Vision 18 12 1236
22. Davis, J., & Bobick, A. (1997). The representation and recognition of action using temporal templates. In IEEE international conference on computer vision and pattern recognition (pp. 928-934) 1997.
23. Davis, J., & Shah, M. (1994). Three-dimensional gesture recognition. In Proc. of Asilomar conference on signals, systems, and computers, 1994.
24. J. Decety J. Grezes 1999 Neural mechanisms subserving the perception of human actions Trends in Cognitive Sciences 3 172
25. Easterby, R., Kroemer, K., & Chaffin, D. (1982). Anthropometry and biomechanics-theory and application. New York: Plenum Press.
26. B. Farnell 1999 Moving bodies, acting selves Annual Review of Anthropology 28 341
27. L. Fogassi V. Gallese L. Fadiga G. Rizzolatti 1996 Action recognition in the premotor cortex Brain 119 2 593
28. D. M. Gavrila 1999 The visual analysis of human movement: a survey Computer Vision and Image Understanding 73 1 82 98
29. Goldman, A. (1970). A theory of human action. Englewood Cliffs: Prentice Hall.
30. Gould, K., & Shah, M. (1989). The trajectory primal sketch: a multi-scale scheme for representing motion characteristics. In Proceedings of IEEE conference on computer vision and pattern recognition (pp. 79-85) San Diego, June 1989.
31. Gritai, A., & Shah, M. (2006). Tracking of human body joints using anthropometry. In IEEE international conference on multimedia and expo, Toronto, Canada, 2006.
32. I. Haritaoglu D. Harwood L. Davis 2000 W4: Real-time surveillance of people and their activities IEEE Transactions on Pattern Analysis and Machine Intelligence 22 8 809
33. Hartley, R. I., & Zisserman, A. (2000). Multiple view geometry in computer vision. Cambridge: Cambridge University Press.
34. Herman, M. (1979). Understanding body postures of human stick figures. PhD Thesis, University of Maryland.
35. Hogg, D. C. (1984) Interpreting images of a known moving object. PhD thesis, University of Sussex.
36. B. Horn E. Weldon 1988 Direct methods for recovering motion International Journal of Computer Vision 2 1 51
37. W. Hu L. Wang T. Tan 2003 Recent development in human motion analysis Pattern Recognition 36 3 585
38. G. Johansson 1993 Visual perception of biological motion and a model for its analysis Perception and Psychophysics 14 2 201 211
39. N. Johnson A. Galata D. Hogg 2001 Learning variable length Markov models of behaviour Computer Vision and Image Understanding Journal 81 398 413 (Pubitemid 32415983)
40. Ju, S., Black, M., & Yacoob, Y. (1996). Cardboard people: A parameterized model of articulated image motion. In Proc. IEEE int. conf. on automatic face and gesture recognition (pp. 38-44) 1996.
41. Kroemer, K., Easterby, R., & Chaffin, D. (1982). Anthropometry and biomechanics-theory and application. New York: Plenum Press.
42. Laptev, I. et al. (2005). Periodic motion detection and segmentation via approximate sequence alignment. In Proceedings of the IEEE international conference on computer vision, 2005.
43. Li, H., & Greenspan, M. (2005). Multi-scale gesture recognition from time-varying contours. In Proceedings of the IEEE international conference on computer vision (pp. 236-243) 2005. (Pubitemid 44054964)
44. Liao, W., Aggarwal, J., Cai, Q., & Sabata, B. (1994). Articulated and elastic non-rigid motion: a review. In Workshop on motion of non-rigid and articulated objects, 1994.
45. T. Moeslund E. Granumm 2001 A survey of computer vision based human motion capture Computer Vision and Image Understanding 81 3 231
46. Nishikawa, A., Ohnishi, A., & Miyazaki, F. (1998). Description and recognition of human gestures based on the transition of curvature from motion images. In Proc. IEEE int. conf. on automatic face and gesture recognition (pp. 552-557) 1998.
47. Niyogi, S., & Adelson, E. H. (1994). Analyzing and recognizing walking figures in xyt. In IEEE international conference on computer vision and pattern recognition (pp. 469-474) 1994.
48. J. O'Rourke N. Badler 1980 Model-based image analysis of human motion using constraint propagation IEEE Transaction on Pattern Analysis and Machine Intelligence 2 6 522
49. Oliver, N., Rosario, B., & Pentland, A. (1999). A Bayesian computer vision system for modeling human interactions. In Proceedings of ICVS99, Gran Canaria, Spain, January 1999.
50. Oliver, N., Horvitz, E., & Garg, A. (2002). Layered representations for human activity recognition. In Fourth IEEE int. conf. on multimodal interfaces (pp. 3-8) 2002.
51. Parameswaran, V., & Chellappa, R. (2002). Quasi-invariants for human action representation and recognition. In International conference on pattern recognition, 2002.
52. Parameswaran, V., & Chellappa, R. (2003). View invariants for human action recognition. In Proceedings of the IEEE international conference on computer vision and pattern recognition, 2003.
53. Parameswaran, V., & Chellappa, R. (2009). Using 2d projective invariance for human action recognition. International Journal of Computer Vision.
54. R. Polana R. C. Nelson 1994 Detecting activities Journal of Visual Communication and Image Representation 5 172 180
55. W. Prinz 1997 Perception and action planning European Journal of Cognitive Psychology 9 2 129
56. Rao, C., & Shah, M. (2001). View invariance in action recognition. In Proceedings of the IEEE international conference on computer vision and pattern recognition, Kauai, Hawaii, Dec. 2001.
57. Rao, C., Gritai, A., Shah, M., & Syeda-Mahmood, T. (2003). View-invariant alignment and matching of video sequences. In Proceedings of the IEEE international conference on computer vision (pp. 939-945) 2003.
58. R. Rashid 1980 Towards a system for the interpretation of moving light display IEEE Transaction on Pattern Analysis and Machine Intelligence 2 6 574
59. H. Sakoe S. Chiba 1978 Dynamic programming algorithm optimization for spoken word recognition IEEE Transactions on Acoustics, Spech, and Signal Processing 26 1 43
60. S. M. Seitz C. R. Dyer 1997 View-invariant analysis of cyclic motion International Journal of Computer Vision 25 1 25
61. Shah, M., Gritai, A., & Sheikh, Y. (2004). On the use of anthropometry in the invariant analysis of human actions. In International conference on pattern recognition, 2004.
62. Shechtman, E., & Irani, M. (2005). Space-time behavior based correlation. In IEEE conference on computer vision and pattern recognition, June 2005.
63. Sheikh, Y., Gritai, A., & Shah, M. (2007). On the spacetime geometry of Galilean cameras. In Proceedings of the IEEE international conference on computer vision and pattern recognition, 2007.
64. Y. Singer S. Fine N. Tishby 1998 The hierarchical hidden Markov model: analysis and applications Machine Learning 32 1 41 62
65. Starner, T., & Pentland, A. (1996). Motion-based recognition. In Computational imaging and vision series. Real-time American sign language recognition from video using hidden Markov models. Dordrecht: Kluwer Academic.
66. Sukthankar, R., Ke, Y., & Hebert, M. (2005). Efficient visual event detection using volumetric features. In Proceedings of the IEEE international conference on computer vision, Oct. 2005.
67. Venkatesh, S., Nguyen, N., Phung, D., & Bui, H. H. (2005). Learning and detecting activities from movement trajectories using the hierarchical hidden Markov models. In Proceedings of the IEEE international conference on computer vision and pattern recognition, San Diego, CA, 2005.
68. K. Verfaillie 1992 Variant points of view on viewpoint invariance Canadian Journal of Psychology 46 215
69. Von Mises, L. (1966). Human action: a treatise on economics. Chicago: Henry Regnery.
70. Yamato, J., Ohya, J., & Ishii, L. (1995). Recognizing human action in time-sequential images using hidden Markov model. In Proc. of the IEEE conference on computer vision and pattern recognition (pp. 624-630) 1995.
71. Yang, M., & Ahuja, N. (1998). Extracting gestural motion trajectories. In Proc. IEEE int. conf. on automatic face and gesture recognition (pp. 10-15) 1998.
72. J. Yang Y. Xu C. S. Chen 1997 Human action learning via hidden Markov model IEEE Transactions on System, Man, and Cybernetics 27 1 34 44 (Pubitemid 127770688)
73. Yilmaz, A., & Shah, M. (2005). Actions as objects: a novel action representation. In IEEE Proceedings on the international conference on computer vision and pattern recognition, 2005.
74. Zatsiorsky, V. (2002). Kinematics of human motion. Champaign: Human Kinetics.
75. Zelnik-Manor, L., & Irani, M. (2001). Event-based analysis of video. In IEEE conference on computer vision and pattern recognition, Dec. 2001.