Background agnostic CPHD tracking of dim targets in heavy clutter
Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/55887 |
| _version_ | 1848759732968357888 |
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| author | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. Pereira, W. |
| author_facet | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. Pereira, W. |
| author_sort | El-Fallah, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all the complexities and the nonlinear nature of this problem. In this paper, we present analysis, derivation, development, and application of a BA-CPHD implementation for tracking dim ballistic targets in environments with a range of unknown clutter rates, unknown clutter distribution, and unknown target probability of detection. The effectiveness and accuracy of the implemented algorithms are assessed and evaluated. Results that evaluate and also demonstrate the specific merits of the proposed approach are presented. © 2013 SPIE. |
| first_indexed | 2025-11-14T10:04:34Z |
| format | Conference Paper |
| id | curtin-20.500.11937-55887 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:04:34Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-558872017-09-13T16:10:51Z Background agnostic CPHD tracking of dim targets in heavy clutter El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. Pereira, W. Detection and tracking of dim targets in heavy clutter environments is a daunting theoretical and practical problem. Application of the recently developed Background Agnostic Cardinalized Probability Hypothesis Density (BA-CPHD) filter provides a very promising approach that adequately addresses all the complexities and the nonlinear nature of this problem. In this paper, we present analysis, derivation, development, and application of a BA-CPHD implementation for tracking dim ballistic targets in environments with a range of unknown clutter rates, unknown clutter distribution, and unknown target probability of detection. The effectiveness and accuracy of the implemented algorithms are assessed and evaluated. Results that evaluate and also demonstrate the specific merits of the proposed approach are presented. © 2013 SPIE. 2013 Conference Paper http://hdl.handle.net/20.500.11937/55887 10.1117/12.2017994 restricted |
| spellingShingle | El-Fallah, A. Zatezalo, A. Mahler, Ronald Mehra, R. Pereira, W. Background agnostic CPHD tracking of dim targets in heavy clutter |
| title | Background agnostic CPHD tracking of dim targets in heavy clutter |
| title_full | Background agnostic CPHD tracking of dim targets in heavy clutter |
| title_fullStr | Background agnostic CPHD tracking of dim targets in heavy clutter |
| title_full_unstemmed | Background agnostic CPHD tracking of dim targets in heavy clutter |
| title_short | Background agnostic CPHD tracking of dim targets in heavy clutter |
| title_sort | background agnostic cphd tracking of dim targets in heavy clutter |
| url | http://hdl.handle.net/20.500.11937/55887 |