View-invariant analysis of periodic motion

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 1903-1908

  Ribnick, Evan ^a   Papanikolopoulos, Nikolaos ^a  

^a University of Minnesota   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; GRADIENT DESCENT; HUMAN MOTIONS; IMAGE COORDINATES; PERIODIC MOTION; PERIODIC POINTS; STATIONARY CAMERAS; VIEWING ANGLE; WORLD COORDINATES;

INTELLIGENT ROBOTS;

THREE DIMENSIONAL;

EID: 76249105845     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354766     Document Type: Conference Paper

References (17)

1. M. Allmen and C.R. Dyer. Cyclic motion detection using spatiotempo-ral surfaces and curves. Proc. Int'l. Conf. Pattern Recognition, 1990.
2. S. Belongie and J. Wills. Structure from periodic motion. Proc. Int'l. Workshop on Spatial Coherence for Visual Motion Analysis, 2004.
3. A. Briassouli and N. Ahuja. Extraction and analysis of multiple periodic motions in video sequences. IEEE Trans. Pattern Analysis and Machine Intelligence, 29(7):1244-1261, July 2007.
4. C.J. Cohen, L. Conway, and D. Koditschek. Dynamical system representation, generation, and recognition of basic oscillatory motion gestures. Proc. Int'l. Conf. Automatic Face and Gesture Recognition, 1996.
5. R. Cutler and L.S. Davis. Robust real-time periodic motion detection, analysis, and applications. IEEE Trans. Pattern Analysis and Machine Intelligence, 22(8):781-796, August 2000.
6. J. Davis, A. Bobick, and W. Richards. Categorical representation and recognition of oscillatory motion patterns. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2000.
7. A. Elgammal and C.-S. Lee. Inferring 3d body pose from silhouettes using activity manifold learning. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2004.
8. H. Fujiyoshi, A.J. Lipton, and T. Kanade. Real-time human motion analysis by image skeletonization. IEICE Trans. Information and Systems, E87-D(1):113-120, 2004.
9. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2nd ed., 2003.
10. J. Little and J. Boyd. Describing motion for recognition. Proc. Int'l. Symposium on Computer Vision, 1995.
11. F. Liu and R.W. Picard. Finding periodicity in space and time. Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1998.
12. D. Ormoneit, M.J. Black, T. Hastie, and H. Kjellstrom. Representing cyclic human motion using functional analysis. Image and Vision Computing, 23:1264-1276, 2005.
13. X. Orriols and X. Binefa. Classifying periodic motions in video sequences. Proc. Int'l. Conf. Image Processing, 2003.
14. R. Polana and R. Nelson. Detection and recognition of periodic, nonrigid motion. Int'l. J. Computer Vision, 23(3):261-282, 1997.
15. E. Ribnick and N. Papanikolopoulos. Estimating 3d trajectories of periodic motions from stationary monocular views. Proc. European Conf. Computer Vision, 2008.
16. S.M. Seitz and C.R. Dyer. View-invariant analysis of cyclic motion. Int'l. J. Computer Vision, 25:1-23, 1997.
17. P.-S. Tsai, M. Shah, K. Keiter, and T. Kasparis. Cyclic motion detection for motion based recognition. Pattern Reocognition, 27(12): 1591-1603, 1994.