Generalizations of the auxiliary particle filter for multiple target tracking
© 2014 International Society of Information Fusion.This paper introduces two generalizations of the celebrated auxiliary particle filter for multiple target tracking. The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimens...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/51991 |
| _version_ | 1848758816176340992 |
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| author | Úbeda-Medina, L. Garcia Fernandez, Angel Grajal, J. |
| author_facet | Úbeda-Medina, L. Garcia Fernandez, Angel Grajal, J. |
| author_sort | Úbeda-Medina, L. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2014 International Society of Information Fusion.This paper introduces two generalizations of the celebrated auxiliary particle filter for multiple target tracking. The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimensionality, which pulls down the performance of direct generalizations of single target particle filter algorithms. The two proposed particle filters are tested in a demanding multiple target scenario, exhibiting a considerable performance improvement with respect to previously reported algorithms of this type for multiple target tracking. |
| first_indexed | 2025-11-14T09:50:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-51991 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:50:00Z |
| publishDate | 2014 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-519912017-04-28T13:57:05Z Generalizations of the auxiliary particle filter for multiple target tracking Úbeda-Medina, L. Garcia Fernandez, Angel Grajal, J. © 2014 International Society of Information Fusion.This paper introduces two generalizations of the celebrated auxiliary particle filter for multiple target tracking. The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimensionality, which pulls down the performance of direct generalizations of single target particle filter algorithms. The two proposed particle filters are tested in a demanding multiple target scenario, exhibiting a considerable performance improvement with respect to previously reported algorithms of this type for multiple target tracking. 2014 Conference Paper http://hdl.handle.net/20.500.11937/51991 restricted |
| spellingShingle | Úbeda-Medina, L. Garcia Fernandez, Angel Grajal, J. Generalizations of the auxiliary particle filter for multiple target tracking |
| title | Generalizations of the auxiliary particle filter for multiple target tracking |
| title_full | Generalizations of the auxiliary particle filter for multiple target tracking |
| title_fullStr | Generalizations of the auxiliary particle filter for multiple target tracking |
| title_full_unstemmed | Generalizations of the auxiliary particle filter for multiple target tracking |
| title_short | Generalizations of the auxiliary particle filter for multiple target tracking |
| title_sort | generalizations of the auxiliary particle filter for multiple target tracking |
| url | http://hdl.handle.net/20.500.11937/51991 |