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...

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Main Authors: Kim, Du Yong, Ma, L., Jeon, M.
Format: Conference Paper
Published: 2015
Online Access:http://hdl.handle.net/20.500.11937/14146
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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.
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institution Curtin University Malaysia
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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