DocumentCode :
1118444
Title :
Cell Tracking: A Modeling and Minimization Approach
Author :
Ferrie, Frank P. ; Levine, Martin D. ; Zucker, Steven W.
Author_Institution :
Computer Vision and Graphics Laboratory, Department of Electrical Engineering, McGill University, Montreal, P.Q., Canada.
Issue :
3
fYear :
1982
fDate :
5/1/1982 12:00:00 AM
Firstpage :
277
Lastpage :
291
Abstract :
This paper presents a model of motion suitable for cell tracking. It includes a representation for cell dynamics enabling it to maintain a correspondence between successive images of cells undergoing morphological changes. This model is based on a minimization problem whose computational solution is similar in form to a Newton-Rhapson iteration. The model is supported by experimental results from an actual tracking problem.
Keywords :
Biomedical imaging; Councils; Decision support systems; Helium; Image analysis; Image motion analysis; In vitro; Morphology; Motion analysis; Tracking; Cell dynamics; cell morphology; cell tracking; dynamic scene analysis; lymphocytes; proliferating cell cultures;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1982.4767244
Filename :
4767244
Link To Document :
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