Model-based tracking of deformable filaments

Lawrence M. Lifshitz

doi:10.1117/12.57124

1 February 1992 Model-based tracking of deformable filaments

Lawrence M. Lifshitz

Proceedings Volume 1609, Model-Based Vision Development and Tools; (1992) https://doi.org/10.1117/12.57124
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

We describe a model-based tracking algorithm designed to follow bright, slowly deforming filaments through a series of two dimensional, gray-scale images. The images can have both structured and unstructured background noise. Tens of filaments can exist in each image; the filaments can cross each other and need not be uniformly bright along their lengths. The algorithm has 3 basic steps. First, a line segment detector (AVS) is applied to find parts of the filaments. Second, these parts are matched to a model of the filaments in the image. The match uses an interpretation tree to find the globally best match of parts of filaments. Third, a new model is produced by choosing a subset of the parts matched to the filaments and interpolating between neighboring parts on the same filament. The algorithm is applied to moving, fluorescently labelled cells.

Citation Download Citation

Lawrence M. Lifshitz "Model-based tracking of deformable filaments", Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); https://doi.org/10.1117/12.57124

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KEYWORDS

Detection and tracking algorithms

Model-based design

Visual process modeling

Data modeling

Sensors

Image segmentation

Motion models

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