View-Invariant Analysis of Cyclic Motion

International Journal of Computer Vision

Volumn 25, Issue 3, 1997, Pages 231-251

  Seitz, Steven M ^a   Dyer, Charles R ^a  

^a University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; FEATURE EXTRACTION; INVARIANCE; OBJECT RECOGNITION; THREE DIMENSIONAL COMPUTER GRAPHICS;

THREE DIMENSIONAL REPEATING MOTIONS; VIEW INVARIANT ANALYSIS;

IMAGE ANALYSIS;

EID: 0031337112     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007928103394     Document Type: Article

References (34)

1. Allmen, M. and Dyer, C.R. 1990. Cyclic motion detection using spatiotemporal surfaces and curves. In Proc. 10th Int. Conf. on Pattern Recognition, pp. 365-370.
2. Baker, H.H. and Bolles, R.C. 1989. Generalizing epipolar-plane image analysis on the spatiotemporal surface. Int. Journal of Computer Vision, 3(1):33-49.
3. Baumberg, A.M. and Hogg, D.C. 1994. An efficient method for contour tracking using active shape models. In Proc. Workshop on Motion of Non-Rigid and Articulated Objects, pp. 194-199.
4. Bobick, A.F. and Wilson, A.D. 1995. A state-based technique for the summarization and recognition of gesture. In Proc. Fifth International Conference on Computer Vision, pp. 382-388.
5. Cedras, C. and Shah, M. 1995. Motion-based recognition: A survey. Image and Vision Computing, 13(2):129-155.
6. Darrell, T. and Pentland, A. 1993. Space-time gestures. In Proc. Computer Vision and Pattern Recognition Conf., pp. 335-340.
7. Davis, J.W. and Shah, M. 1994. Visual gesture recognition. IEE Proc. Vision, Image and Signal Processing, 141(2):101-106.
8. Essa, I.A. and Pentland, A. 1994. A vision system for observing and extracting facial action parameters. In Proc. Computer Vision and Pattern Recognition Conf., pp. 76-83.
9. Goddard, N.H. 1989. The interpretation of visual motion: Recognizing moving light displays. In Proc. IEEE Workshop on Visual Motion, pp. 212-220.
10. Gould, K. and Shah, M. 1989. The trajectory primal sketch: A multiscale scheme for representing motion characteristics. In Proc. Computer Vision and Pattern Recognition Conf., pp. 79-85.
11. Hogg, D. 1983. Model-based vision: A program to see a walking person. Image and Vision Computing, 1(1):5-20.
12. Huttenlocher, D.P., Klanderman, G.A., and Rucklidge, W.J. 1993. Comparing images using the Hausdorff distance. IEEE Trans. Pattern Analysis and Machine Intell., 15(9):850-863.
13. Johansson, G. 1973. Visual perception of biological motion and a model for its analysis. Perception and Psychophysics, 14(2):201-211.
14. Kass, M., Witkin, A., and Terzopoulos, D. 1988. Snakes: Active contour models. Int. Journal of Computer Vision, 1(4):321-331.
15. Koenderink, J.J. and van Doorn, A.J. 1991. Affine structure from motion. J. Opt. Soc. Am. A, 8:377-385.
16. McReynolds, D.P. and Lowe, D.G. 1995. Rigidity checking of 3D point correspondences under perspective projection. In Proc. Fifth Int. Conf. on Computer Vision, pp. 945-950.
17. Mundy, J.L. and Zisserman, A. 1992. Geometric Invariance in Computer Vision. MIT Press: Cambridge, MA.
18. Perry, T.S. 1990. Biomechanically engineered athletes. IEEE Spectrum, pp. 43-44.
19. Polana, R. and Nelson, R. 1992. Recognition of motion from temporal texture. In Proc. Computer Vision and Pattern Recognition Conf., pp. 129-134.
20. Polana, R. and Nelson, R. 1993. Detecting activities. In Proc. Computer Vision and Pattern Recognition Conf., pp. 2-7.
21. Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T. 1988. Numerical Recipes in C. Cambridge University Press: Cambridge, MA.
22. Rohr, K. 1993. Incremental recognition of pedestrians from image sequences. In Proc. Computer Vision and Pattern Recognition Conf., pp. 8-13.
23. Seitz, S.M. and Dyer, C.R. 1994a. Affine invariant detection of periodic motion. In Proc. Computer Vision and Pattern Recognition Conf., pp. 970-975.
24. Seitz, S.M. and Dyer, C.R. 1994b. Detecting irregularities in cyclic motion. In Proc. Workshop on Motion of Non-Rigid and Articulated Objects, pp. 178-185.
25. Seitz, S.M. and Dyer, C.R. 1997. Cyclic motion analysis using the period trace. In Motion-Based Recognition, M. Shah and R. Jain (Eds.), Kluwer Academic Publishers: Boston, MA, pp. 61-85.
26. Shah, M. and Jain, R. 1997. Motion-Based Recognition. Kluwer Academic Publishers: Boston, MA.
27. Shapiro, L., Zisserman, A., and Brady, M. 1994. Motion from point matches using affine epipolar geometry. In Proc. Third European Conference on Computer Vision, pp. 73-84.
28. Soatto, S. and Perona, P. 1994. Three dimensional transparent structure segmentation and multiple 3D motion estimation from monocular perspective image sequences. In Proc. Workshop on Motion of Non-Rigid and Articulated Objects, pp. 228-235.
29. Stewart, G.W. 1973. Introduction to Matrix Computations. Academic Press: New York, NY.
30. Terzopoulos, D., Witkin, A., and Kass, M. 1988. Constraints on deformable models: Recovering 3D shape and nonrigid motion. In Proc. AAAI Conf., pp. 91-122.
31. Tomasi, C. and Kanade, T. 1992. Shape and motion from image streams under orthography: A factorization method. Int. Journal of Computer Vision, 9(2):137-154.
32. Tsai, P.S., Shah, M., Keiter, K., and Kasparis, T. 1994. Cyclic motion detection for motion based recognition. Pattern Recognition, 27(12):1591-1603.
33. Williams, D.J. and Shah, M. 1992. A fast algorithm for active contours and curvature information. CVGIP: Image Understanding, 1(55):14-26.
34. Yacoob, Y. and Davis, L. 1994. Computing spatio-temporal representations of human faces. In Proc. Computer Vision and Pattern Recognition Conf., pp. 70-75.