Biomedical Image Analysis: Tracking [Paperback]

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.Introduction.- Active Contours for Tracking.- Bayesian Tracking and the Kalman Filter.- Particle Filters and Multi-Target Tracking.- Tracking Shapes by Sampling.Scott T. Acton received the M.S. degree in electrical and computer engineering and the Ph.D. degree in electrical and computer engineering from the University of Texas at Austin in 1990 and 1993, respectively, where he was a Microelectronics and Computer Development Fellow. He received the B.S. degree in electrical engineering from Virginia Tech, Blacksburg in 1988 as a Virginia Scholar and Marshall Hahn Fellow. He was the class of 1984 valedictorian at Oakton High School in Vienna, VA. At Oakton, he was a member of the football and basketball teams, although the coach rarely let him in an actual game. He has worked in industry for AT&T, Oakton, VA, the MITRElÓ#