Bayesian Multi-Object Tracking for Cell Microscopy

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Bayesian Multi-Object Tracking for Cell Microscopy

Cell tracking is an essential tool for studying how cells behave and divide under different conditions. This thesis proposes new approaches to track cells and their lineages using random finite set, which allows the tracking errors to be statistically quantified. Additionally, this thesis also explo...

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Bibliographic Details
Main Author:	Nguyen, Tran Thien Dat
Format:	Thesis
Published:	Curtin University 2021
Online Access:	http://hdl.handle.net/20.500.11937/86947

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