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dc.contributor.authorKim, Du Yong
dc.contributor.authorMa, L.
dc.contributor.authorJeon, M.
dc.date.accessioned2017-01-30T11:41:50Z
dc.date.available2017-01-30T11:41:50Z
dc.date.created2016-05-02T19:30:23Z
dc.date.issued2015
dc.identifier.citationKim, D.Y. and Ma, L. 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), Oct 29-31 2015, pp. 74-79. Changshu, China: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/14146
dc.identifier.doi10.1109/ICCAIS.2015.7338729
dc.description.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.

dc.titleMulti-Bernoulli filter based sensor selection with limited sensing range for multi-target tracking
dc.typeConference Paper
dcterms.source.startPage74
dcterms.source.endPage79
dcterms.source.titleICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences
dcterms.source.seriesICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences
dcterms.source.isbn9781479998920
curtin.note

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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