Proceedings/Recueil Des Communications Année : 2024

Motion Classification Based On Geometrical Features Of Trajectories

Résumé

This paper proposes a novel approach for motion clas- sification based on geometrical features computed on tra- jectories. The method follows a machine learning approach trained and validated on synthetic datasets simulating several stochastic models. The resulting model enables, in particular, the recognition of different subdiffusive behaviors, offering a finer classification than the standard method based on mean square displacement. The method is assessed on a biological dataset containing trajectories of CCR5 cell receptors.
Fichier principal
Vignette du fichier
Motion_classification_based_on_geometrical_features_of_trajectories___ISBI2024.pdf (357.67 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

pasteur-04671759 , version 1 (16-08-2024)

Identifiants

Citer

Giacomo Nardi, Matheus Santos Sano, Anne Brelot, Jean-Christophe Olivo-Marin, Thibault Lagache. Motion Classification Based On Geometrical Features Of Trajectories. International Symposium on Biomedical Imaging (ISBI), IEEE, 2024, ⟨10.1109/ISBI56570.2024.10635804⟩. ⟨pasteur-04671759⟩
321 Consultations
90 Téléchargements

Altmetric

Partager

More