Multivariate relevance vector machines for tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mapping from image features to state space is learned using a set of relevance vector machines, extended to handle multivaria...
| Huvudupphovsmän: | , , , , |
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| Materialtyp: | Conference item |
| Språk: | English |
| Publicerad: |
Springer
2006
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