BM3 E : discriminative density propagation for visual tracking
We introduce BM3 E, a Conditional Bayesian Mixture of Experts Markov Model, for consistent probabilistic estimates in discriminative visual tracking. The model applies to problems of temporal and uncertain inference and represents the unexplored bottom-up counterpart of pervasive generative models e...
Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 29(2007), 11 vom: 11. Nov., Seite 2030-44 |
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Auteur principal: | |
Autres auteurs: | , |
Format: | Article |
Langue: | English |
Publié: |
2007
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Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
Sujets: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |