Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence
In this paper, we present a novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the predicted and updated densities. The proposed approach is attractive in that the multi-target states are modeled as Poisson random...
| Main Authors: | , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/3194 |
| _version_ | 1848744164705959936 |
|---|---|
| author | Liu, Y. Hoang, Hung Gia |
| author_facet | Liu, Y. Hoang, Hung Gia |
| author_sort | Liu, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we present a novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the predicted and updated densities. The proposed approach is attractive in that the multi-target states are modeled as Poisson random finite sets (RFS) that allow the objective function to be calculated in closed form. Simulation results are presented to demonstrate the viability of the proposed approach. |
| first_indexed | 2025-11-14T05:57:07Z |
| format | Conference Paper |
| id | curtin-20.500.11937-3194 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:57:07Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-31942017-09-13T14:45:11Z Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence Liu, Y. Hoang, Hung Gia In this paper, we present a novel sensor selection technique for multi-target tracking where the sensor selection criterion is the Cauchy-Schwarz divergence between the predicted and updated densities. The proposed approach is attractive in that the multi-target states are modeled as Poisson random finite sets (RFS) that allow the objective function to be calculated in closed form. Simulation results are presented to demonstrate the viability of the proposed approach. 2015 Conference Paper http://hdl.handle.net/20.500.11937/3194 10.1109/ICCAIS.2014.7020575 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Liu, Y. Hoang, Hung Gia Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title | Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title_full | Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title_fullStr | Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title_full_unstemmed | Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title_short | Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence |
| title_sort | sensor selection for multi-target tracking via closed form cauchy-schwarz divergence |
| url | http://hdl.handle.net/20.500.11937/3194 |