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In biological and medical imaging applications, tracking objects in
motion is a critical task. This book describes the state-of-the-art
in biomedical tracking techniques. We begin by detailing methods
for tracking using active contours, which have been highly
successful in biomedical applications. The book next covers the
major probabilistic methods for tracking. Starting with the basic
Bayesian model, we describe the Kalman filter and conventional
tracking methods that use centroid and correlation measurements for
target detection. Innovations such as the extended Kalman filter
and the interacting multiple model open the door to capturing
complex biological objects in motion. A salient highlight of the
book is the introduction of the recently emerged particle filter,
which promises to solve tracking problems that were previously
intractable by conventional means. Another unique feature of
Biomedical Image Analysis: Tracking is the explanation of
shape-based methods for biomedical image analysis. Methods for both
rigid and nonrigid objects are depicted. Each chapter in the book
puts forth biomedical case studies that illustrate the methods in
action.
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