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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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Publisher copy:
10.5244/C.28.86

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Institution:
University of Oxford
Oxford college:
Brasenose College
Role:
Author
Publisher:
British Machine Vision Association Publisher's website
Journal:
Proceedings of the British Machine Vision Conference 2014 Journal website
Pages:
1-12
Host title:
Proceedings of the British Machine Vision Conference 2014
Publication date:
2014-01-01
DOI:
Source identifiers:
502652
Keywords:
Pubs id:
pubs:502652
UUID:
uuid:3f290ac6-655e-4048-a563-771b8516687e
Local pid:
pubs:502652
Deposit date:
2017-02-09

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