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dc.contributor.authorKim, Du Yong
dc.contributor.authorVo, Ba-Ngu
dc.contributor.authorThian, A.
dc.contributor.authorChoi, Y.
dc.date.accessioned2018-05-14T06:08:44Z
dc.date.available2018-05-14T06:08:44Z
dc.date.created2018-05-13T00:32:00Z
dc.date.issued2017
dc.identifier.citationKim, D.Y. and Vo, B. and Thian, A. and Choi, Y. 2017. A generalized labeled multi-Bernoulli tracker for time lapse cell migration, pp. 20-25.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/66640
dc.identifier.doi10.1109/ICCAIS.2017.8217576
dc.description.abstract

© 2017 IEEE. Tracking is a means to accomplish the more fundamental task of extracting relevant information about cell behavior from time-lapse microscopy data. Hence, characterizing uncertainty or confidence in the information inferred from the data is as important as the tracking of the cells. In this paper, we show that in addition to being a principled Bayesian multi-object tracking approach, the Random Finite Set (RFS) framework is capable of providing consistent characterization of uncertainty for the information inferred from the data. In particular, we use an efficient implementation of the Generalized Labeled Multi-Bernoulli (GLMB) filter to track a large number of cells in a cell migration experiment and demonstrate how to characterize uncertainty on variables inferred from the data such as cell counts, survival rate, birth rate, mean position, mean velocity using standard constructs from RFS theory.

dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP160104662
dc.titleA generalized labeled multi-Bernoulli tracker for time lapse cell migration
dc.typeConference Paper
dcterms.source.volume2017-January
dcterms.source.startPage20
dcterms.source.endPage25
dcterms.source.title2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017
dcterms.source.series2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017
dcterms.source.isbn9781538631140
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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