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Multi-target tracking with time-varying clutter rate and detection profile: Application to time-lapse cell microscopy sequences

Rezatofighi, Seyed; Gould, Stephen; Vo, Ba T; Vo, Ba-Ngu; Mele, Katarina; Hartley, Richard

Description

Quantitative analysis of the dynamics of tiny cellular and sub-cellular structures, known as particles, in time-lapse cell microscopy sequences requires the development of a reliable multi-target tracking method capable of tracking numerous similar targets in the presence of high levels of noise, high target density, complex motion patterns and intricate interactions. In this paper, we propose a framework for tracking these structures based on the random finite set Bayesian filtering framework....[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Journal article
URI: http://hdl.handle.net/1885/98341
Source: IEEE Transactions on Medical Imaging
DOI: 10.1109/TMI.2015.2390647

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