Skip to main content
Conference ProceedingsOPEN ACCESS

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7510 LNCS 357-364
DOI: 10.1007/978-3-642-33415-3_44
14Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Rezatofighi, S. H., Gould, S., Hartley, R., Mele, K., & Hughes, W. E. (2012). Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7510 LNCS, pp. 357–364). Springer Verlag. https://doi.org/10.1007/978-3-642-33415-3_44

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free