Particle Tracking Accuracy Measurement Based on Comparison of Linear Oriented Forests

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00095219" target="_blank" >RIV/00216224:14330/17:00095219 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICCVW.2017.8" target="_blank" >http://dx.doi.org/10.1109/ICCVW.2017.8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCVW.2017.8" target="_blank" >10.1109/ICCVW.2017.8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Particle Tracking Accuracy Measurement Based on Comparison of Linear Oriented Forests

Popis výsledku v původním jazyce

Particle tracking is of fundamental importance in diverse quantitative analyses of dynamic intracellular processes using time-lapse microscopy. Due to frequent impracticability of tracking particles manually, a number of fully automated algorithms have been developed over past decades, carrying out the tracking task in two subsequent phases: (1) particle detection and (2) particle linking. An objective benchmark for assessing the performance of such algorithms was recently established by the Particle Tracking Challenge. Because its performance evaluation protocol finds correspondences between a reference and algorithm-generated tracking result at the level of individual tracks, the performance assessment strongly depends on the algorithm linking capabilities. In this paper, we propose a novel performance evaluation protocol based on a simplified version of the tracking accuracy measure employed in the Cell Tracking Challenge, which establishes the correspondences at the level of individual particle detections, thus allowing one to evaluate the performance of each of the two phases in an isolated, unbiased manner. By analyzing the tracking results of all 14 algorithms competing in the Particle Tracking Challenge using the proposed evaluation protocol, we reveal substantial changes in their detection and linking performance, yielding rankings different from those reported previously.

Název v anglickém jazyce

Particle Tracking Accuracy Measurement Based on Comparison of Linear Oriented Forests

Popis výsledku anglicky

Particle tracking is of fundamental importance in diverse quantitative analyses of dynamic intracellular processes using time-lapse microscopy. Due to frequent impracticability of tracking particles manually, a number of fully automated algorithms have been developed over past decades, carrying out the tracking task in two subsequent phases: (1) particle detection and (2) particle linking. An objective benchmark for assessing the performance of such algorithms was recently established by the Particle Tracking Challenge. Because its performance evaluation protocol finds correspondences between a reference and algorithm-generated tracking result at the level of individual tracks, the performance assessment strongly depends on the algorithm linking capabilities. In this paper, we propose a novel performance evaluation protocol based on a simplified version of the tracking accuracy measure employed in the Cell Tracking Challenge, which establishes the correspondences at the level of individual particle detections, thus allowing one to evaluate the performance of each of the two phases in an isolated, unbiased manner. By analyzing the tracking results of all 14 algorithms competing in the Particle Tracking Challenge using the proposed evaluation protocol, we reveal substantial changes in their detection and linking performance, yielding rankings different from those reported previously.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GJ16-03909Y" target="_blank" >GJ16-03909Y: Vývoj spolehlivých metod pro automatizovanou kvantitativní charakterizaci buněčné motility ve fluorescenční mikroskopii</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16th IEEE International Conference on Computer Vision Workshops

ISBN

9781538610343

ISSN

2473-9936

e-ISSN

—

Počet stran výsledku

7

Strana od-do

11-17

Název nakladatele

IEEE

Místo vydání

Venice

Místo konání akce

Venice, Italy

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000425239600002