Change search
ReferencesLink to record
Permanent link

Direct link
Tracking of non-brownian particles using the Viterbi algorithm
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0002-5329-575X
KTH, School of Electrical Engineering (EES), Signal Processing.ORCID iD: 0000-0001-6630-243X
2015 (English)In: Proceedings - International Symposium on Biomedical Imaging, IEEE conference proceedings, 2015, 380-384 p.Conference paper (Refereed)Text
Abstract [en]

We present a global tracking algorithm for tracking particles with dynamic motion models. The tracking algorithm augments a existing global track linking algorithm based on the Viterbi algorithm with a Gaussian Mixture Probability Hypothesis Density filter. This allows the tracking algorithm to use the target velocities to link tracks. The algorithm can handle clutter, missed detections, and random appearance and disappearance of particles in the field of view. The algorithm can also handle targets that switch between different motion models according to a Markov process. The algorithm is evaluated on the synthetic datasets used in the ISBI 2012 Particle Tracking Challenge, which simulate vesicles, receptors, microtubules, and viruses at different particle densities and signal to noise ratios. The evaluation shows that our algorithm performs well across a wide range of particle tracking problems in both 2D and 3D.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 380-384 p.
Keyword [en]
GM-PHD, Particle tracking, Viterbi algorithm, Markov processes, Medical imaging, Motion analysis, Probability density function, Signal to noise ratio, Target tracking, Tracking (position), Viruses, Dynamic motion models, Gaussian mixture probability hypothesis density filters, Linking algorithms, Non-brownian particles, Synthetic datasets, Tracking algorithm, Algorithms
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-181653DOI: 10.1109/ISBI.2015.7163892ISI: 000380546000091ScopusID: 2-s2.0-84944319065ISBN: 9781479923748OAI: oai:DiVA.org:kth-181653DiVA: diva2:912437
Conference
12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, 16 April 2015 through 19 April 2015
Note

QC 20160316

Available from: 2016-03-16 Created: 2016-02-02 Last updated: 2016-09-05Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Magnusson, KlasJaldén, Joakim
By organisation
Signal Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 13 hits
ReferencesLink to record
Permanent link

Direct link