Target recognition and tracking
David D. Sworder, John E. Boyd · International Journal of Systems Science · 2001
Advances in image and signal processing permit implementation of sophisticated sensor fusion algorithms for tracking and target identification. The polymoprhic estimator (PME) accomplishes these tasks simultaneously. However, it has been observed that there is an identification bias toward more languorous targets. This bias can be overcome with higher-quality sensors. It is shown here that, in some cases, more precise modelling of the target motion is an even better solution.