Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking
In this paper, we consider a sensor network with limited sensing range and present a sensor selection algorithm for multi-target tracking problem. The proposed algorithm is based on the multi-Bernoulli filtering and a collection of sub-selection problems for individual target. A sub-selection proble...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/14146 |
| _version_ | 1848748543680970752 |
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| author | Kim, Du Yong Ma, L. Jeon, M. |
| author_facet | Kim, Du Yong Ma, L. Jeon, M. |
| author_sort | Kim, Du Yong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper, we consider a sensor network with limited sensing range and present a sensor selection algorithm for multi-target tracking problem. The proposed algorithm is based on the multi-Bernoulli filtering and a collection of sub-selection problems for individual target. A sub-selection problem for each target is investigated under the framework of partially observed Markov decision process. Each sub-selection problem is solved using a combination of information theoretic method and limited sensing range. Numerical studies validate the effectiveness of our method for multi-target tracking scenario in a sensor network. |
| first_indexed | 2025-11-14T07:06:43Z |
| format | Conference Paper |
| id | curtin-20.500.11937-14146 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:06:43Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-141462017-09-13T15:34:02Z Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking Kim, Du Yong Ma, L. Jeon, M. In this paper, we consider a sensor network with limited sensing range and present a sensor selection algorithm for multi-target tracking problem. The proposed algorithm is based on the multi-Bernoulli filtering and a collection of sub-selection problems for individual target. A sub-selection problem for each target is investigated under the framework of partially observed Markov decision process. Each sub-selection problem is solved using a combination of information theoretic method and limited sensing range. Numerical studies validate the effectiveness of our method for multi-target tracking scenario in a sensor network. 2015 Conference Paper http://hdl.handle.net/20.500.11937/14146 10.1109/ICCAIS.2015.7338729 fulltext |
| spellingShingle | Kim, Du Yong Ma, L. Jeon, M. Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title | Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title_full | Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title_fullStr | Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title_full_unstemmed | Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title_short | Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| title_sort | multi-bernoulli filter based sensor selection with limited sensing range for multi-target tracking |
| url | http://hdl.handle.net/20.500.11937/14146 |