Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking

Kim, D, Liang, M and Jeon, M 2015, 'Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking', in Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS 2015), Changshu, China, 29-31 October 2015, pp. 74-79.


Document type: Conference Paper
Collection: Conference Papers

Title Multi-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking
Author(s) Kim, D
Liang, M
Jeon, M
Year 2015
Conference name ICCAIS 2015
Conference location Changshu, China
Conference dates 29-31 October 2015
Proceedings title Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS 2015)
Publisher IEEE
Place of publication United States
Start page 74
End page 79
Total pages 6
Abstract 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.
Subjects Signal Processing
DOI - identifier 10.1109/ICCAIS.2015.7338729
Copyright notice © 2015 IEEE
ISBN 9781479998920
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