Bayesian GOETHE Tracking

Occlusions pose serious challenges when tracking multiple targets. By severly changing the measurement, they imply strong inter-target dependencies. Exact computation of these dependencies is not feasible. The GOETHE approximations preserve much of the information while staying computationally affordable.