Paper
10 January 2003 Multi-level model for 2D human motion analysis and description
Author Affiliations +
Proceedings Volume 5018, Internet Imaging IV; (2003) https://doi.org/10.1117/12.476183
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
This paper deals with the proposition of a model for human motion analysis in a video. Its main caracteristic is to adapt itself automatically to the current resolution, the actual quality of the picture, or the level of precision required by a given application, due to its possible decomposition into several hierarchical levels. The model is region-based to address some analysis processing needs. The top level of the model is only defined with 5 ribbons, which can be cut into sub-ribbons regarding to a given (or an expected) level of details. Matching process between model and current picture consists in the comparison of extracted subject shape with a graphical rendering of the model built on the base of some computed parameters. The comparison is processed by using a chamfer matching algorithm. In our developments, we intend to realize a platform of interaction between a dancer and tools synthetizing abstract motion pictures and music in the conditions of a real-time dialogue between a human and a computer. In consequence, we use this model in a perspective of motion description instead of motion recognition: no a priori gestures are supposed to be recognized as far as no a priori application is specially targeted. The resulting description will be made following a Description Scheme compliant with the movement notation called "Labanotation".
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas Foures and Philippe Joly "Multi-level model for 2D human motion analysis and description", Proc. SPIE 5018, Internet Imaging IV, (10 January 2003); https://doi.org/10.1117/12.476183
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Cited by 2 scholarly publications.
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KEYWORDS
Motion models

Video

Image segmentation

Motion analysis

Image processing

Process modeling

3D modeling

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