Cyclic motion detection using spatiotemporal surfaces and curves

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, providi...

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Published in:[1990] Proceedings. 10th International Conference on Pattern Recognition Vol. i; pp. 365 - 370 vol.1
Main Authors: Allmen, M., Dyer, C.R.
Format: Conference Proceeding
Language:English
Published: IEEE Comput. Soc. Press 1990
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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.< >
AbstractList 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.< >
Author Allmen, M.
Dyer, C.R.
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  organization: Dept. of Comput. Sci., Wisconsin Univ., Madison, WI, USA
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Snippet Cyclic motion is formally defined as repeating curvature values along a path of motion. A procedure is presented for cyclic motion detection using...
SourceID ieee
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StartPage 365
SubjectTerms Bicycles
Computer vision
Humans
Legged locomotion
Motion analysis
Motion detection
Object recognition
Psychology
Rhythm
Spatiotemporal phenomena
Title Cyclic motion detection using spatiotemporal surfaces and curves
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