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Cell tracking: a modeling and minimization approach
F P Ferrie1, M D Levine, S W Zucker
1Computer Vision and Graphics Laboratory, Department of Electrical Engineering, McGill University, Montreal, P.Q., Canada.
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.
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