Action recognition from weak alignment of body parts
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 algori...
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| Format: | Conference item |
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British Machine Vision Association
2014
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