Published June 1995
| Published
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Monocular tracking of the human arm in 3D
Chicago
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Abstract
We address the problem of estimating the position and motion of a human arm in 3D without any constraints on its behavior and without the use of special markers. We model the arm as two truncated right-circular cones connected with spherical joints. We propose to use a recursive estimator for arm position, and to provide the estimator with error signals obtained by comparing the projected estimated arm position with that of the actual arm in the image. The system is demonstrated and tested on a real image sequence.
Additional Information
© 1995 IEEE. Date of Current Version: 06 August 2002. This work is supported in part by the California Institute of Technology; a fellowship from the "Ing.A.Gini" foundation; the Office of Naval Research grant ONR N00014-93-1-0990; an NSF National Young Investigator Award; the Center for Neuromorphic Systems Engineering as a part of the National Science Foundation Engineering Research Center Program; and by the California Trade and Commerce Agency, Office of Strategic Technology.Attached Files
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Additional details
- Eprint ID
- 29347
- Resolver ID
- CaltechAUTHORS:20120217-073919521
- Ing. A. Gini Foundation
- Office of Naval Research (ONR)
- N00014-93-1-0990
- NSF National Young Investigator Award
- NSF Center for Neuromorphic Systems Engineering (CNSE)
- California Trade and Commerce Agency, Office of Strategic Technology
- Created
-
2012-02-17Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Other Numbering System Name
- INSPEC Accession Number
- Other Numbering System Identifier
- 5028090