Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

Authors:
Seyed Hamid Rezatofighi;Stephen Gould;Richard Hartley;Katarina Mele;William E. Hughes
Affiliations:
College of Engineering & Computer Sci., Australian National University, ACT, Australia, Quantitative Imaging Group, CSIRO Math., Informatics & Statistics, NSW, Australia;College of Engineering & Computer Sci., Australian National University, ACT, Australia;College of Engineering & Computer Sci., Australian National University, ACT, Australia, National ICT (NICTA), Australia;Quantitative Imaging Group, CSIRO Math., Informatics & Statistics, NSW, Australia;The Garvan Institute of Medical Research, NSW, Australia, Department of Medicine, St. Vincent's Hospital, NSW, Australia
Venue:
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2012

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Abstract

We propose a multi-target tracking method using an Interacting Multiple Model Joint Probabilistic Data Association (IMM-JPDA) filter for tracking vesicles in Total Internal Reflection Fluorescence Microscopy (TIRFM) sequences. We enhance the accuracy and reliability of the algorithm by tailoring an appropriate framework to this application. Evaluation of our algorithm is performed on both realistic synthetic data and real TIRFM data. Our results are compared against related methods and a commercial tracking software.