Gait sequence analysis using frieze patterns

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

Volumn 2351, Issue , 2002, Pages 657-671

  Liu, Yanxi ^a   Collins, Robert ^a   Tsin, Yanghai ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAIT ANALYSIS;

ASSOCIATED SYMMETRIES; DYNAMIC TIME WARPING; HUMAN IDENTIFICATION; HUMANOID AVATARS; PERIODIC PATTERN; SPATIOTEMPORAL PATTERNS; VIDEO SEQUENCES; VIEWING DIRECTIONS;

COMPUTER VISION;

EID: 84948963742     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_44     Document Type: Conference Paper

References (21)

1. B. K. P. Horn. Robot Vision. MIT Press, 1986.
2. C. Bregler and J. Malik. Tracking people with twists and exponential maps. In Proc. IEEE Computer Vision and Pattern Recognition, pages 8–15, 1998.
3. Y. Caspi and M. Irani. A step towards sequence-to-sequence alignment. In IEEE Computer Vision and Pattern Recognition, pages II:682–689, 2000.
4. T.J. Cham and J.M. Rehg. A multiple hypothesis approach to figure tracking. In Proc. IEEE Computer Vision and Pattern Recognition, pages II:239–245, 1999.
5. R. Cutler and L. Davis. Robust real-time periodic motion detection, analysis and applications. IEEE Trans on Pattern Analysis and Machine Intelligence, 22(8):781–796, August 2000.
6. E. Ayyappa. Normal human locomotion, part 1: Basic concepts and terminology. In Journal of Prosthetics and Orthotics, volume 9(1), pages 10–17. The American Academy of Orthotists and Prosthetists, 1997.
7. A. Elgammal, D. Harwood, and L. Davis. Non-parametric model for background subtraction. In European Conference on Computer Vision, pages 751–767, 2000.
8. M.A. Giese and T. Poggio. Morphable models for the analysis and synthesis of complex motion patterns. International Journal of Computer Vision, 38(1):59–73, June 2000.
9. R. Gross and J. Shi. The CMU motion of body (MoBo) database. Technical Report CMU-RI-TR-01-18, Robotics Institute, Carnegie Mellon University, 2001.
10. H. Chui and A. Rangarajan. A new algorithm for non-rigid point matching. IEEE Computer Vision and Pattern Recognition, pages 44–51, 2000.
11. D. Hogg. Model-based vision: A program to see a walking person. Image and Vision Computing, 1(1):5–20, 1983.
12. K. Kanatani. Statistical Optimization for Geometric Computation : Theory and Practice. North-Holland, 1996.
13. K. Kanatani. Comments on ”Symmetry as a Continuous Feature. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(3):246–247, 1997.
14. J.J. Little and J.E. Boyd. Recognizing people by their gait: The shape of motion. Videre, 1(2), 1998.
15. F. Liu and R. W Picard. Finding periodicity in space and time. In IEEE International Conference on Computer Vision (ICCV), 1998.
16. Y. Liu and R. T. Collins. A Computational Model for Repeated Pattern Perception using Frieze and Wallpaper Groups. In Computer Vision and Pattern Recognition Conference (CVPR’00), pages 537–544, Los Alamitos, CA, June 2000. IEEE Computer Society Press. (http://www.ri.cmu.edu/pubs/pub 3302.html).
17. S.A. Niyogi and E.H. Adelson. Analyzing and recognizing walking figures in xyt. In Proc. IEEE Computer Vision and Pattern Recognition, pages 469–474, 1994.
18. S.M. Seitz and C.R. Dyer. View-invariant analysis of cyclic motion. International Journal of Computer Vision, 25:1–23, 1997.
19. T.N. Tan, G.D. Sullivan, and K.D. Baker. Recognizing objects on the groundplane. Image and Vision Computing, 12(3):164–172, April 1994.
20. K. Toyama, J. Krumm, B. Brumitt, and B. Meyers. Wallflower: Principles and practice of background maintenance. In International Conference on Computer Vision, pages 255–261, 1999.
21. H. Zabrodsky, S. Peleg, and D. Avnir. Symmetry as a continuous feature. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1154–1165, December 1995.