1 February 1992 Model-based tracking of deformable filaments
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Proceedings Volume 1609, Model-Based Vision Development and Tools; (1992); doi: 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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lawrence M. Lifshitz, "Model-based tracking of deformable filaments", Proc. SPIE 1609, Model-Based Vision Development and Tools, (1 February 1992); doi: 10.1117/12.57124; 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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