Measurement-based neural-net multitarget tracker
Mark L. Yee, David P. Casasent · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
A neural network solution to the data association problem in multitarget tracking is presented. This requires position and velocity measurements of the targets over two consecutive time frames. A quadratic neural energy function results that is suitable for an optical processing implementation. Realistic target trajectories are simulated, yielding several different scenarios with spurious measurements (clutter) and measurement noise, which are used to test the tracking ability of the neural network. Simulation results are presented, and an overall tracking system using the neural net, Kalman filters, and a Hough transform subsystem is discussed.© (1990) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.