DocumentCode
3205029
Title
Cyclic motion detection using spatiotemporal surfaces and curves
Author
Allmen, Mark ; Dyer, Charles R.
Author_Institution
Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
Volume
i
fYear
1990
fDate
16-21 Jun 1990
Firstpage
365
Abstract
Cyclic motion is formally defined as repeating curvature values along a path of motion. A procedure is presented for cyclic motion detection using spatiotemporal (ST) surfaces and ST curves. The projected movement of an object generates ST surfaces. ST curves are detected on the ST surfaces, providing an accurate, compact, qualitative description of the ST surfaces. Curvature scale-space of the ST curves is then used to detect intervals of repeating curvature values. The successful detection of cyclic motion in two data sets is presented
Keywords
pattern recognition; visual perception; curvature scale-space; cyclic motion detection; repeating curvature values; spatiotemporal curves; spatiotemporal surfaces; Bicycles; Computer vision; Humans; Legged locomotion; Motion analysis; Motion detection; Object recognition; Psychology; Rhythm; Spatiotemporal phenomena;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location
Atlantic City, NJ
Print_ISBN
0-8186-2062-5
Type
conf
DOI
10.1109/ICPR.1990.118130
Filename
118130
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