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ABSTRACT
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 tech-
niques. 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 cen-
troid and correlation measurements for target detection. Innovations such as the
extended Kalman filter and the interacting multiple model open the door to cap-
turing 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.
KEYWORDS
Active contours, Biomedical imaging, Image analysis, Image processing, Medical
imaging, Particle filter, Snakes, Kalman filter, Target tracking.
