Conference item
Action recognition from weak alignment of body parts
- Abstract:
-
We propose a method for human action recognition from still images that uses the silhouette and the upper body as a proxy for the pose of the person, and also to guide alignment between samples for the purpose of computing registered feature descriptors. Our contributions include an efficient algorithm, formulated as an energy minimization, for using the silhouette to align body parts between imaged human samples. The descriptors computed over the aligned body parts are incorporated, via a mu...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- British Machine Vision Association Publisher's website
- Host title:
- Proceedings of the British Machine Vision Conference 2014
- Journal:
- Proceedings of the British Machine Vision Conference 2014 Journal website
- Pages:
- 1-12
- Publication date:
- 2014-01-01
- DOI:
Item Description
- Keywords:
- Pubs id:
-
pubs:502652
- UUID:
-
uuid:3f290ac6-655e-4048-a563-771b8516687e
- Local pid:
- pubs:502652
- Source identifiers:
-
502652
- Deposit date:
- 2017-02-09
Terms of use
- Copyright holder:
- Hoai et al
- Copyright date:
- 2014
- Notes:
- © 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.
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