Journal article
Upper body detection and tracking in extended signing sequences
- Abstract:
-
The goal of this work is to detect and track the articulated pose of a human in signing videos of more than one hour in length. In particular we wish to accurately localise hands and arms, despite fast motion and a cluttered and changing background.
We cast the problem as inference in a generative model of the image, and propose a complete model which accounts for self-occlusion of the arms. Under this model, limb detection is expensive due to the very large number of possible config...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Publisher copy:
- 10.1007/s11263-011-0480-9
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Authors
Funding
Microsoft
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Royal Academy of Engineering
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Engineering and Physical Sciences Research Council
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Bibliographic Details
- Publisher:
- Springer Publisher's website
- Journal:
- International Journal of Computer Vision Journal website
- Volume:
- 95
- Issue:
- 2
- Pages:
- 180-197
- Publication date:
- 2011-01-01
- DOI:
- EISSN:
-
1573-1405
- ISSN:
-
0920-5691
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:41643af0-bb8b-4f18-a696-22eb623ce70c
- Local pid:
- ora:5835
- Deposit date:
- 2011-10-31
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Terms of use
- Copyright holder:
- Springer Science + Business Media, LLC
- Copyright date:
- 2011
- Notes:
- The full-text of this article is not currently available in ORA, but the original publication is available at springerlink.com (which you may be able to access via the publisher copy link on this record page).
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