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research-article

Multiple cell tracking by generalised labelled multi-Bernoulli filter

Published: 01 January 2019 Publication History

Abstract

Cell detection and tracking in microscopy images are of great importance to medical research and related fields. In this paper, a generalised labelled multi-Bernoulli (GLMB) track-before-detect (TBD) filter is proposed for the tracking of multiple cells. In this filter, GLMB based on random finite set (RFS) theory is used to jointly estimate the positions and the numbers of cells in images, and TBD is adopted to track cells without explicit detection step. The experimental results indicate that the proposed method can accurately discover cells and maintain their tracks in low contrast image sequences.

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  1. Multiple cell tracking by generalised labelled multi-Bernoulli filter
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            cover image International Journal of Computer Applications in Technology
            International Journal of Computer Applications in Technology  Volume 61, Issue 4
            2019
            98 pages
            ISSN:0952-8091
            EISSN:1741-5047
            DOI:10.1504/ijcat.2019.61.issue-4
            Issue’s Table of Contents

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            Inderscience Publishers

            Geneva 15, Switzerland

            Publication History

            Published: 01 January 2019

            Author Tags

            1. cell tracking
            2. random finite set
            3. track-before-detect
            4. generalised labelled multi-Bernoulli

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