Tracking and Data Fusion: A Handbook of Algorithms (Bar-Shalom, Y. et al; 2011) [Bookshelf]

This book covers one of the most important applications of estimation theory - multiple object tracking or multi-target tracking. It contains 16 chapters and an extensive bibliography. Additions to the 1995 version of this book include a more thorough treatment of multisensor fusion and multiple hypothesis tracking, attribute-aide tracking, tracking with imaging sensors, unresolved targets, sensor management, and radar biases.