Integrated tracking, classification, and sensor management [Book review]

All engineers and researchers interested in tracking and sensor fusion should scrutinize this new book consisting of 17 chapters in 712 pages written by the world´s experts on the subject. The book is a pleasure to read, and it is a cornucopia of practical algorithms and new theory with quantitative performance comparisons. For example, chapter 8 by Neil Gordon, et al. surveys the state-of-the-art in track-before-detect algorithms, including a thorough quantitative comparison of 5 classes of algorithms (Viterbi, Baum-Welch, particle filters, maximum likelihood PDA and histogram probabilistic MHT), showing ROC curves, one-sigma errors and computational complexity for various signal-to-noise ratios and scenarios and sensors; the algorithms are thoroughly described in clear accessible prose; an extensive list of references is included. Most chapters in this book are written at a similar high level of quality and clarity and thoroughness.