A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness

Autor:	Lars Hufnagel, Jochen Wittbrodt, Martin Schiegg, Bjoern Andres, Heike Leitte, Martin Lindner, Bernhard X. Kausler, Ullrich Koethe, Fred A. Hamprecht
Rok vydání:	2012
Předmět:	Mathematical optimization Chain (algebraic topology) Robustness (computer science) Probabilistic logic Domain knowledge Graphical model Cell tracking Tracking (particle physics) Graph model Algorithm Mathematics
Zdroj:	Computer Vision – ECCV 2012 ISBN: 9783642337116 ECCV (3)
DOI:	10.1007/978-3-642-33712-3_11
Popis:	Tracking by assignment is well suited for tracking a varying number of divisible cells, but suffers from false positive detections. We reformulate tracking by assignment as a chain graph---a mixed directed-undirected probabilistic graphical model---and obtain a tracking simultaneously over all time steps from the maximum a-posteriori configuration. The model is evaluated on two challenging four-dimensional data sets from developmental biology. Compared to previous work, we obtain improved tracks due to an increased robustness against false positive detections and the incorporation of temporal domain knowledge.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a7f2cd457323948bacdc0534d1b866ea https://doi.org/10.1007/978-3-642-33712-3_11 Zobrazit plný text záznamu