Paper Info
Title
Active contours for the movement and motility analysis of biological objects
Abstract
We present a complete framework for automating the objective and reliable assessment of biological objects motility. We address, in the context of one particular application, some of the main problems in dealing with the automatic tracking of biological objects, which are: (1) the robust segmentation of individual objects which is quite often hindered by the poor contrast of the imaging technique; (2) the proper initialisation of multiple objects description; and (3) the problem of temporary object aggregation, during which objects loose their individuality. We have implemented the active contour model based on the gradient vector field model (Xu and Prince, 1998) and adapted it in order to overcome some of its limitations in dealing with biological related objects. Results are presented of the analysis of video sequences of a living amoeba
Year
DOI
Venue
2000
10.1109/ICIP.2000.900928
Image Processing, 2000. Proceedings. 2000 International Conference
Keywords
DocType
Volume
biological techniques,biology computing,edge detection,gradient methods,image motion analysis,image sequences,optical tracking,video signal processing,zoology,active contours,automatic tracking,biological objects,contrast,gradient vector field model,living amoeba,motility analysis,movement,multiple objects,segmentation,temporary object aggregation,video sequences
Conference
1
ISSN
ISBN
Citations 
1522-4880
0-7803-6297-7
7
PageRank 
References 
Authors
1.68
4
4
Name
Order
Citations
PageRank
Vannary Meas-yedid115819.79
Jean-Christophe Olivo-Marin274777.94
Meas-Yedid, V.371.68
Olivo-Marin, J.-C.4638.68