LAP-based tracking for focal adhesions

Katerina Lomanov, Jesus Martinez del Rincon, Paul Miller, Hugh Gribben

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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We present a focal adhesion (FA) detector and tracker based on an Interacting Multiple Model (IMM) algorithm combined with the double use of the linear assignment problem (LAP) for data association. Performance has been evaluated using a real confocal microscopy image sequence of a migrating cell stained for FAs. The tracker has been compared against several state-of-the-art, commercially available tracking algorithms. With a multiple object tracking accuracy (MOTA) of 31.6, it outperforms each of these other methods.
Original languageEnglish
Title of host publicationIrish Machine Vision and Image Processing Conference Proceedings 2018: Proceedings
Publication statusPublished - 2018
Event20th Irish Machine Vision and Image Processing Conference - Ulster University, Belfast, United Kingdom
Duration: 29 Aug 201831 Aug 2018


Conference20th Irish Machine Vision and Image Processing Conference
Abbreviated titleIMVIP
Country/TerritoryUnited Kingdom


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