title: Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images.
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.
authors.affiliation: College of Engineering & Computer Sci., Australian National University, ACT. hamid.rezatofighi@anu.edu.au
authors.forename: Seyed Hamid
authors.initials: SH
authors.lastname: Rezatofighi
authors.forename: Stephen
authors.initials: S
authors.lastname: Gould
authors.forename: Richard
authors.initials: R
authors.lastname: Hartley
authors.forename: Katarina
authors.initials: K
authors.lastname: Mele
authors.forename: William E
authors.initials: WE
authors.lastname: Hughes
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D015233:Models, Statistical; D016011:Normal Distribution; D011336:Probability; D015203:Reproducibility of Results; D012984:Software