Coupling cell detection and tracking by temporal feedback
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341865" target="_blank" >RIV/68407700:21230/20:00341865 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00138-020-01072-7" target="_blank" >https://doi.org/10.1007/s00138-020-01072-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00138-020-01072-7" target="_blank" >10.1007/s00138-020-01072-7</a>
Alternative languages
Result language
angličtina
Original language name
Coupling cell detection and tracking by temporal feedback
Original language description
The tracking-by-detection strategy is the backbone of many methods for tracking living cells in time-lapse microscopy. An object detector is first applied to the input images, and the resulting detection candidates are then linked by a data association module. The performance of such methods strongly depends on the quality of the detector because detection errors propagate to the linking step. To tackle this issue, we propose a joint model for segmentation, detection and tracking. The model is defined implicitly as limiting distribution of a Markov chain Monte Carlo algorithm and contains a temporal feedback, which allows to dynamically alter detector parameters using hints given by neighboring frames and, in this way, correct detection errors. The proposed method can integrate any detector and is therefore not restricted to a specific domain. The parameters of the model are learned using an objective based on empirical risk minimization. We use our method to conduct large-scale experiments for confluent cultures of endothelial cells and evaluate its performance in the ISBI Cell Tracking Challenge, where it consistently scored among the best three methods.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Machine Vision and Applications
ISSN
0932-8092
e-ISSN
1432-1769
Volume of the periodical
31
Issue of the periodical within the volume
4
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
—
UT code for WoS article
000526453100001
EID of the result in the Scopus database
2-s2.0-85083579824