Visual tracking by continuous density propagation in sequential bayesian filtering framework
Particle filtering is frequently used for visual tracking problems since it provides a general framework for estimating and propagating probability density functions for nonlinear and non-Gaussian dynamic systems. However, this algorithm is based on a Monte Carlo approach and the cost of sampling an...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 31(2009), 5 vom: 01. Mai, Seite 919-30 |
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| Auteur principal: | |
| Autres auteurs: | , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2009
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |