Segmentation and tracking of multiple humans in crowded environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model based approach to interpret the image observations by multiple, partially occluded human hypotheses in a Bayesian framework. We define a joint image likelihood for multip...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 30(2008), 7 vom: 12. Juli, Seite 1198-211 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2008
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Evaluation Study Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
| Accès en ligne |
Volltext |